Мы используем cookies для улучшения опыта пользователей, анализа трафика и показа подходящей рекламы.
Подробнее Принимаю
Введите должность

Обзор статистики зарплат профессии "Data Science в Молдавии"

Получать информацию со статистикой на почту
К сожалению, по указаному запросу нет статистических данных. Попробуйте изменить должность или регион.

Рекомендуемые вакансии

Data Analyst (International mobile game company)
, Chișinău
We are a casual mobile game company with offices in Estonia and Moldova. Due to a professional team of enthusiastic innovators, we create unique gaming experiences to deliver our players the most lively entertainment. This and other principles enable us to attain tens of thousands of downloads in the Google Play Store.Our values:- comfort, calmness, and fun – all the best to our players- passionate and highly motivated community- joyful entertainment We are looking for a Data Analyst with relevant experience who will collaborate effectively with engineers, product managers, analysts, and marketing to improve our games for audiences.With us you will:- receive questions from the game team and determine the data needed to answer them- assemble data from multiple sources, conduct analyses, perform research, design, documents, and implement solutions- propose solutions and insights to game areas- develop scripts and queries to import, manipulate, clean, and transform data from different sources- present analysis conclusions to the game team in an understandable way- build metrics reporting systems and track process improvements across the team- build predictive models and machine-learning algorithms You’re the best candidate if:- you have a very good database and SQL, NoSQL, and nested data knowledge- you have a strong knowledge of expert data visualization techniques for charts and reports (Microsoft Power BI or Tableau or similar tools)- you have experience in at least one visualization tool such as Looker, Tableau, PowerBI- you have strong experience with programming in R, Python- you have good math, including statistics, simulation, and optimization- you have strong written and verbal communication skills in English and Romanian (we speak Romanian in our day-to-day interactions, and we keep English as the base written documentation language) It’s considered to be an advantage:- university degree in a technical field (Computer Science, Statistics, Mathematics, Engineering)- 2+ years of meaningful experience in Data Science or Analytics Role in a product support capacity We’re ready to offer you the following:- high official salary and bonuses- flexible work hours- modern office with all facilities- development in a unique corporate culture- career growth opportunities in an international company- parking area Interested in working in a friendly and strong team?Please, send your CV in English to . It is confidential.
Data Scientist
, Chișinău
We are looking for a Data Scientist to join our data team. As a data scientist you will take part in our ongoing endeavour of developing a robust analytic pipeline that is able to digest multiple types and forms of data without manual intervention and use advanced analytics to supply predictive insight. We work with many types of data and with every processing and modelling technique out there. Our data team consists of skilled and experienced professionals with both academic and industry background in multiple scientific fields and we are seeking someone creative, smart and fun to work with to complement our versatile team. In order to excel in our team, you need to be a skilled data scientist and a strong python developer. Primary Responsibilities:Design, implement and deploy ML/DL algorithms;Apply quantitative analysis and an insightful presentation of data to see beyond the numbers and understand how our users interact with our growth products;Automate data collection procedures, and pre-processing of structured and unstructured data;Analyze large amounts of data to discover trends and patterns;Apply data mining techniques, perform statistical analysis, and build high-quality prediction modelling;Meet the business vision and strategy in accordance with the product innovation backlog;Collaborate with the product, engineering, and UX/UI teams to deliver usable and informative analytical interfaces;Basic Requirements:Proven experience as a Data Scientist, preferably working with B2C / B2B2C SaaS products;Python expert!;Excellent understanding of machine learning techniques and algorithms and methodology Experience with common data science toolkits, such as Pandas, Scikit-learn, Tensorflow, FeatureTools and more;High-level applied statistics skills, such as distributions, statistical testing, etc.Experience in data mining and insight drawing from large data sets;Proficiency in using query languages such as SQL, Hive, Pig;Data-oriented personality, analytical mind, and problem-solving aptitude;Team player with excellent communication and presentation skills to tech / non-tech people alike in Computer Science, Engineering, Mathematics or relevant field; graduate degree in Data Science or other quantitative field is preferred;Fluent in English, both written and verbal”;What we offer:Competitive salary and bonuses based on experience and performance;Travelling opportunities in some projects areas;Supportive working climate with flexible work practices;Company-sponsored events;Friendly and healthy work environment;Continuous learning tools;Career development opportunities ( certifications / trainings / conferences);Feel IT referral bonus;Hybrid (Remote/Office) job;Lunch tickets;If interested, please email your resume to      
Data Developer/Modeler
, Chișinău
Place of work: Bratislava, SlovakiaCompany: IBMWage (gross): from EUR/month btto, depending on relevant experienceInformation about the positionThe Data Developer / Modeler will join a highly collaborative team of architects and developers creating logical and physical data deliverables to produce applications for the IBM Consulting business. The data deliverables focus on logical modeling, and then the physical design and configuration of physical structures with a heavy emphasis on SQL development for data retrieval. The Data Developer / Modeler will work closely with the Application Developers to educate on data structures, and tailor the SQL for optimal data retrieval. This position will be an assurance point for good data management practices across the team and solution.ResponsibilitiesExecute the application development lifecycle through development and test (requirements analysis, data analysis, solution definition, data modeling, meta-data definition, and querydevelopment, performance analysis, and testing)Designs and drives the evolution of the data models and flows across operations, reporting and analyticsCoordinates with source applications for Master and Reference dataDrives optimization and performance improvement of databases and queriesParticipates in regular solution design sessions to analyze options and benefitsEnsures proper solution documentation is produced using standard Architecture deliverablesRequirements for the employeeExperience creating advanced SQL (multiple joins, sub-selects, case, decode, and otherconstructs)Experience performing logical data modeling and physical data modeling.Experience in data analysis and data mappingExperience performing problem analysis and data investigationFamiliarity with IBM DB2, Cloudant, Mongo and other DBMSExperience with Postman, SOAP UI or similar API driversExperience in creating, reading and manipulating JSON structuresProblem solving, interpersonal, and time management skills to handle high-pressure, complexsituations effectivelyDemonstrated communication skills, and the ability to work directly with clients/customersHighly motivated by team successEmployee perks, benefits- Additional Days Off- Flexible Working Conditions- % Paid Sick Leave- Critical Illness Insurance, Life & Disability insurance, Medical Center- Personal & Career DevelopmentDigi Talents programme benefitsThe job position is supported by the EU-funded labour mobility programme Digi Talents for ICT professionals between Slovakia and Moldova. The programme represents a unique opportunity toboost your professional career and more information at https://digitalents.md In addition to the conditions and benefits from the company described above, the programme Digi Talents will provide you with additional benefits:Covering travel costs to Slovakia and back to Moldova,Financial support to cover fees for legal and administrative formalities related to your residence in Slovakia and your living costs (e.g. accommodation, insurance, pocket money and local transport fees) during the first two months of your stay in the amount of up to EUR/month.Provision of professional courses in programming, English language, and Slovak language before and after arrival to Slovakia,Assistance with relocation, residence formalities, accommodation, and cultural orientation. Legal and administrative support during your stay in Slovakia,Participation in the programme is for free.To apply for the job, you must fill out the application at https://digitalents.md/apply-form/ If you have any questions, contact us via emails   and  Brief description of the companyIBM is a multinational technological corporation with operations in over countries worldwide. IBM creates and delivers hardware and software to the global market and provides consulting in theIT sector. Among the many inventions of IBM, one may find ATMs, personal computers, credit cards, bar code, among many others. It is also an early adopter of artificial intelligence, quantum computing and blockchain. Currently, IBM’s portfolio includes all segments of computer science and IT.Brief description of the Digi Talents programmeDigi Talents programme is implemented with the financial assistance of the European Union, contracted by ICMPD through the Migration Partnership Facility. The contents of this document are the sole responsibility of EMA – Development and Mobility Agency (EMA) and Moldovan Association of ICT Companies (ATIC) and can under no circumstances be regarded as reflecting the position of the European Union and the one of ICMPD.
Data Engineer
, Chișinău
Who We AreWe’re a cast of characters working to shine a spotlight on anime. Crunchyroll is an international business focused on creating both online and offline experiences for fans through content (licensed, co-produced, originals, distribution), merchandise, events, gaming, news, and more. Visit our About Us pages for more information about our collection of brands.Location: ChisinauAwarded Moldova’s Top Employer of the Year in , the team collaborates with our colleagues across offices to develop, design, engineer, and advocate content that brings our communities of passionate fans together.About The TeamThe mission of our team is to help the company be data-driven. With our data platform, we now power reporting, personalization, analytics, and other cross-functional integrations. Join us in improving and building new personalization features for each of our millions of fans. As a team:we love opensource, pair programming, and TDD;encourage collaboration;value opinions;and foster continuous learning.About YouFoundational Computer Science background;Comfortable with complex SQL queries and large datasets;3+ years of experience in at least one programming language, preferably Python;Working knowledge of some public cloud, preferably AWS and conceptual familiarity of associated cloud resources (S3, EMR, Redshift, Athena, etc.);Good knowledge of Data Engineering and Database technologies;Familiarity working with UNIX systems;Master Degree in Computer Science or equivalent experience.Preferred qualifications:TDD experience;Pair programming experience;Open-source projects experience;1+ years Statistics, Data Science, or ML background;Familiarity/experience in building recommender systems;Understanding of software architecture and design patterns.A day in the life of our Data Engineer:Assess our current Data Science and Machine Learning capabilities, define and drive the execution of a world-class multi-year roadmap that impacts both our top line and bottom line;Own and improve Crunchyroll's personalization algorithms and associated infrastructure;Collaborate with data engineers in building a cross-functional feature repository;Work closely with product and architect teams in designing, and implementing features that scale;Be passionate about learning.Benefits and Perks:Stay Healthy - Private health insurance including dental and vision care and full insurance package for kids; Pregnancy and post-pregnancy coverage;Take Time for You - Accrued PTO, extended social and paternity leaves, 5 extra fully paid sick days with no justification required, summer Fridays off, company Christmas vacation, flexible schedule & hybrid working mode;Refuel - Catered meals, snacks & beverages, meals reimbursement;Find Balance - On-site gym & showers, gym membership refund, camping sets and bikes free rental, counseling via Onlive.md and Talkspace;Work hard, watch hard - Free premium access to Crunchyroll; Crunchyroll Store discount;Level Up - Prepaid Udemy account, foreign language classes, professional development courses & conferences;Press Play - Game nights, anime nights, Happy Hours, team buildings & celebrations;Take the prize - End-year Bonus, Recognition Award, Impact Award, and Referral Bonus; That's not all - Team bonding budget, facilities compensation, global anniversary & birthday recognition program, gifts for special occasions & others.About CrunchyrollCrunchyroll connects anime and manga fans across + countries and territories with the content and experiences they love. In addition to free ad-supported and subscription premium content, Crunchyroll serves the anime community across events, theatrical, games, consumer products, collectibles, and manga publishing.Anime fans have access to one of the largest collections of licensed anime through Crunchyroll and translated in multiple languages for viewers worldwide. Viewers can also access simulcasts — top series available immediately after Japanese broadcast.The Crunchyroll app is available on over 15 platforms, including all gaming consoles.Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan’s Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation.Our Company ValuesYou’ll see these in action if we’re lucky enough to have you:Courage - When we overcome fear, we enable our best selves.Curiosity - We are curious, which is the gateway to empathy, inclusion, and understanding.Service - We serve our community with humility, enabling joy and belonging for others.Kaizen - We have a growth mindset committed to constant forward progress.We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Data engineer
MOD Digital Technology, Кишинев
Company DescriptionMOD Digital Technology represents in Moldova an international client – an innovative company that supports companies in managing the entire data supply chain both in the enterprise and in the factory with an offer of solutions ranging from data acquisition to IT architecture, from customized software developments to internal process management, from business analysis to the implementation of sophisticated artificial intelligence algorithms.RoleWe are looking for a Data Engineer to strengthen our Big Data Analytics division. The resource, included in a multifunctional team consisting of Data Engineer, Data Analyst and Data Scientist, will be responsible for the management and optimization of the Data Analytics infrastructure, having the opportunity to work on structured projects of different types.Requirements Must have - Degree in Computer Science/Computer Engineering or other scientific disciplines - Experience in data handling and modelling contexts (ETL/ELT, DWH, Semantic Model) - Experience with Data Lakehouse architectures (and medallion architecture) - Good knowledge of SQL language - Knowledge of Python language (especially for the use of data frames) Nice to have - Experience with Microsoft Azure Services (Azure Synapse Analytics, Azure SQL DB, Azure Data Factory) - Experience with Microsoft Power BI - Approach to Microsoft Fabric - Knowledge of the main database management, maintenance and optimization methodologies, in particular relational databases such as Microsoft SQL Server - Experience with Databricks Soft skills - Ability to interpret the requirements collected or provided in order to translate them into the best data modelling choices - Analytical inclination and critical spirit in problem solving - Organizational skills, precision and attention to detail - Proactive attitude in a team context Other informationWorking with us is an opportunity to be a part of innovative international projects, to grow professionally both from a technical and managerial point of view, working in a dynamic environment where confrontation and sharing with the team is encouraged in order to find the best technological and functional solution for each specific situation. We offer you: - Flexibility in full remote or hybrid working mode - Participate in innovative projects - Exploring and developing new solutions - Discovering new technologies - Continuous training and personal certifications Are you ready to take part in the great challenges ahead? JOIN US!Apply to or call to
Data Engineer
, Молдова
Feel IT Services offers web design and development services, desktop and mobile solutions, managed services and maintenance support to medium-range customers located in areas like US, Israel, France, Belgium, and Switzerland.With headquarters in Paris and a strong, ambitious R&D and Support Team based in Romania and the Republic of Moldova, we can add real value to your projects, both in development and maintenance.Our mission is to help our customers to become more profitable in their IT projects.We develop a healthy culture based on: Quality, Flexibility, Transparency, and Respect.As a Data Engineer with Data Analysis, you will be responsible for designing, developing, and maintaining data pipelines, working with Data analytics platforms for data visualization, and managing data integrations between cloud providers and 3rd parties. Enable the organization to derive actionable insights based on d2c data and manage the funnel data initiatives.Key Responsibilities:Data Pipeline Development: Design, build, and maintain robust and scalable data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse.Data Integration: Work on implementing and managing data integrations between cloud providers (e.g., AWS, GCP) and third-party data sources, ensuring data accuracy and reliability.Data Analytics Expertise: Collaborate with data analysts and business users to create and maintain dashboards and reports for data visualization and analysis.Data Analysis: Utilize your strong data analysis skills to derive meaningful insights from complex datasets, assisting in decision-making processes and identifying trends and patterns.Database Management: Manage event databases and funnel data, ensuring data quality, security, and availability.Optimization: Continuously optimize data pipelines and processes for performance, scalability, and efficiency.Documentation: Maintain thorough documentation of data engineering processes, models, and integration workflows.Collaboration: Collaborate closely with cross-functional teams, including data scientists, data analysts, software engineers, product managers, and business stakeholders, to understand their data needs and provide solutions.Qualifications:Bachelor's degree in Computer Science, Data Engineering, or a related field (Master's preferred).Proven experience in data engineering, ETL development, and data integration.3+ years of strong technical background with expertise in relevant programming languages and technologies.Strong proficiency in SQL and one or more programming languages (e.g., Python, Java, Scala).Hands-on experience with data visualization tools, particularly Looker (Advantage).Familiarity with cloud platforms (AWS, GCP) and third-party data integrations.Ability to manage and maintain various types of databases, including time series data, rational, document.Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.Strong communication skills to interact effectively with technical and non-technical team members.What we offer:Competitive salary based on experience;Supportive working climate with flexible work practices;Lunch tickets;Coffee, fruits, and other goodies at the office));Sports facilities;Company-sponsored events;Traveling opportunities in some project areas;Career development opportunities (certifications / trainings / conferences).Feel IT referral bonusHybrid (Remote/Office) job
Data Scientist
, Молдова
AboutUnipro Solutions, is a provider of travel software solutions which are designed to meet the specific needs of various types of travel companies, including tour operators,travel agencies, and destination management companies. We offer a range of software solutions, including booking systems, customer relationship management tools, and marketing automation platforms. Why become a part of our team:International Environment: Our teams interact, collaborate, discover cultures, and expand their personal network.People Oriented: We foster an environment where your personal and professional selves align, and where open communication and appreciation are integral parts of our culture.Your ideas will alwaysfind their way to our leaders, and your contribution recognized.At Unipro Solutions, we are committed to providing an environment of respect, empathy and cooperation where every employee will feel engaged, motivated and valued.Who you are:As a data scientist you'll be responsible for collecting, analyzing, and interpreting large datasets to provide actionable insights, predictions, and recommendations to support business goals and decision-making.Your future job duties:Gather and preprocess large datasets from various sources, ensuring data quality and consistency.Handle missing data and outliers effectively.Perform exploratory data analysis (EDA) to understand data patterns, trends, and relationships.Utilize statistical and data visualization techniques to communicate findings effectively.Develop and implement machine learning algorithms and models to solve specific business problems.Evaluate model performance, fine-tune parameters, and ensure scalability.Create relevant features or variables to improve model performance.Select and engineer features based on domain knowledge.Translate complex data findings into actionable insights and recommendations.Communicate results to non-technical stakeholders through reports, presentations, or dashboards.Build predictive models to forecast future trends, customer behavior, or other relevant metrics.Continuously monitor model performance and update as needed.Create data visualizations (charts, graphs, etc.) to make data-driven insights more accessible to others.Use tools like Matplotlib, Seaborn, Tableau, or Power BI.Work with big data frameworks (e.g., Hadoop, Spark) and databases (e.g., SQL, NoSQL) as needed.Requirements:Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Statistics, Mathematics).Strong knowledge of statistics, mathematics, and machine learning techniques.Knowledge in programming languages (e.g., Python, R).Experience with data visualization tools and libraries.Familiarity with database systems and big data technologies.Problem-solving skills and the ability to work on complex projects.Strong communication skills to convey technical findings to non-technical stakeholders.Business acumen and understanding of industry-specific challenges (depending on the domain).Team spirit; strong communication skills to collaborate with various stakeholdersGood time-management and communication skillsAnalytical thinkingNice to have : Natural Language Processing (NLP) skills for text data analysis.Deep learning expertise for complex image or speech data.Cloud computing experience (e.g., AWS, Azure, GCP).A/B testing and experimentation knowledge.Why should you apply?Base salary +Bonuses Annual salary revisionLong term employment, fully covering social packageFully covered PTO policyTrainings and career development opportunitiesModern and cozy office in the city CenterDynamic, fun and supportive company culture
Data Processing Analyst
, Молдова
AboutUnipro Solutions, is a provider of travel software solutions which are designed to meet the specific needs of various types of travel companies, including tour operators,travel agencies, and destination management companies. We offer a range of software solutions, including booking systems, customer relationship management tools, and marketing automation platforms. Why become a part of our team:International Environment: Our teams interact, collaborate, discover cultures, and expand their personal network.People Oriented: We foster an environment where your personal and professional selves align, and where open communication and appreciation are integral parts of our culture.Your ideas will alwaysfind their way to our leaders, and your contribution recognized.At Unipro Solutions, we are committed to providing an environment of respect, empathy and cooperation where every employee will feel engaged, motivated and valued.Who you are:The Data Analysis and Processing Agent is responsible for collecting, organizing, and processing large volumes of data to ensure its accuracy, completeness, and integrity. You will work with various data sources and tools to prepare data for analysis, reporting, or other business purposes.Your future job duties:Gather data from different sources, including databases, spreadsheets, and external APIs.Clean and preprocess data to remove duplicates, errors, and inconsistencies.Perform data transformation tasks such as normalization, aggregation, and merging datasets.Ensure data quality by validating data against predefined standards and business rules.Integrate data from multiple sources to create a unified dataset for analysis.Load processed data into databases or data warehouses for easy access.Maintain clear documentation of data processing procedures and data lineage.Implement data security measures to protect sensitive information.Identify and address data processing issues and anomalies.Requirements:Bachelor's degree in a related field (e.g., Computer Science, Information Technology).Proficiency in data processing tools and languages (e.g., SQL, Python, Excel).Strong attention to detail and data accuracy.Familiarity with data management and ETL (Extract, Transform, Load) processes.Knowledge of data privacy and compliance regulations (e.g., GDPR, HIPAA) is a plus.Team spirit; strong communication skills to collaborate with various stakeholdersGood time-management and communication skillsAnalytical thinkingWhy should you apply?Base salary +Bonuses Annual salary revisionLong term employment, fully covering social packageFully covered PTO policyTrainings and career development opportunitiesModern and cozy office in the city CenterDynamic, fun and supportive company culture
Data Analyst / Data Engineer
, Chișinău
Business-class.comis a US-based online travel company with offices in Florida, Riga, Chisinau, and Kyiv. Our dedicated travel specialists work directly with all major airlines to secure discounts on first and business-class flights.Business-class company is one of the leading luxury travel companies and a top-rated partner of Kayak, Skyscanner. Our RnD team builds a unique technology that automates the most advanced flight tickets search and booking process.About the roleWe are seeking an experienced and passionate Data Analyst / Data Engineer to join our team. This individual will play a crucial role in developing data-driven insights to drive decision-making and improve business performance. The Data Analyst will be responsible for creating dashboards and reports, as well as implementing and maintaining best practices in business intelligence. This position will require strong analytical, problem-solving, and communication skills to collaborate effectively with cross-functional teams.Responsibilities:Develop and maintain business intelligence dashboards and reports to provide actionable insights for informed decision-making.Collaborate with cross-functional teams to gather and refine data requirements, and ensure that data is accurate, consistent, and timely.Implement and maintain best practices for data quality, data governance, and data security.Conduct statistical analysis, predictive modeling, and machine learning to uncover trends, patterns, and relationships within the data.Design and optimize ETL processes to improve data processing efficiency.Continuously evaluate and improve existing reporting tools, dashboards, and data sources to ensure relevance and accuracy.Stay current with industry trends and advancements in data science, business intelligence, and related technologies to make recommendations for continuous improvement.Train and support team members on the use of business intelligence tools and best practices.Communicate complex data insights effectively to both technical and non-technical audiences through presentations, reports, and visualizations.Requirements:Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field.2+ years of experience in a data analyst or data scientist role.Proficiency in data visualization tools such as Tableau, Power BI, Looker, or similar platforms.Strong knowledge of SQL and experience in querying large, complex datasets.Experience with data extraction, transformation, and loading (ETL) processes.Solid understanding of statistical analysis, predictive modeling, and machine learning techniques.Excellent problem-solving and analytical skills, with keen attention to detail and the ability to draw insights from data.Strong communication and presentation skills, with the ability to explain complex data and insights to both technical and non-technical stakeholders.Experience with programming languages such as Python or R for data manipulation, analysis, and visualization.Familiarity with version control systems (e.g., Git) and collaboration tools (e.g., Jira, Confluence).Nice to have:Experience with big data technologies such as Hadoop, Spark, or similar tools.Knowledge of cloud-based data storage and analytics platforms, such as AWS, Azure, or Google Cloud.Experience in creating custom data visualization solutions using libraries such as D3.js, Plotly, or ggplot2.Familiarity with data warehousing concepts and tools, such as Snowflake or Redshift.Certifications in data science, business intelligence, or related fields.About the ProjectWe are an Online travel company and have a lot of Tech projects to develop - Flight Search, Booking portals, Payment services, CMS, CRM, ERP systems, and much other automation.We are dedicated to providing the very best product paying a detailed focus on customer service and satisfaction to gain loyal repetitive clients eager to work with our employees.Our hiring process is very fast, with only 3 steps!Developers at Business Class are a great team. We’ve built all of our systems in-house, specific to the needs of our growing company! As we grow, we are looking for people with a solid background who are excited to learn more and have an opportunity to make a mark on the company, not just as yet another Contract Contributor, but as a valued, full-time member of an incredible organization.We offer:Competitive salary;All the latest tech/software you need;Office work in Chisinau, Riga, Mixed remote and office work, remote work;Paid vacations, sick leaves;Overwork compensation (a rare event);Personal and Professional Development Opportunities.If this all sounds like a journey you would like to shape and be part of, apply now.
Data Engineer
, Chișinău
Orange Systems is the IT hub of Orange Moldova. An IT park resident, with over employees, that delivers advanced IT solutions, enhancing a wide range of activities and full cycle development, impacting millions of customers across Europe.Orange Systems is looking for a new colleague to fill in the position of Data Engineer to work with our International Partners.Data Engineer will be responsible for making all data accessible needed for advanced insights and machine learning models. He/she also will be creating prototypes for possible new digital pipeline data opportunities.what you will be doing:Deliver new functionality and adapt the system to accommodate the delivery of the new opportunities in structured and unstructured dataUse predictive/prescriptive modeling and/or machine learning analytics techniques and tools/programming languages to increase and optimize business outcomesWork closely with business, analytics team, data science and DevOps team on the further development and improvement of a large-scale machine learning systemDesign, implement, test, deploy and monitor streaming data transformation pipelines that calculate features for predictive modelswhat we are looking for:University Degree3+ years of relevant experienceExperience with AWS components (Step functions, ECS, ECR, DynamoDB, Kinesis, S3, Lambda) and AWS data processing and data pipeline deployments (CICD, AWS Glue, Redshift, S3, Lambda, SageMaker)CI/CD stack (git/docker/drone/linux/airflow)Extensive Knowledge of SQL, Python/pySparkExperience with DevOps and Infrastructure as code (CFT or CDK) is a plusFluent in EnglishAbility to work with multiple stakeholders and meet deadlinesAutonomy, initiative and responsibilitywhat's in it for you:international environment and guaranteed life-work balancea unique learning experience in our companyworking experience with great potential for growthcompetitive salarybenefits and compensations that you can discover on www.orange.md/orangesystemsWe invite you to join Orange for a unique learning and working experience, with great potential for growth in an innovative environment.If you share the same views, please send us your CV today. We will be happy to welcome you into a young and dynamic team!Working for Orange is one of a kind experience. Come check it out!Orange SystemsCalea Iesilor 8, Chişinău, Moldovae-mail: