Senior Data Engineer

- 3-5+ years of experience working as a Data Engineer;- Master’s or PhD in Mathematics, Cybernetics, Computer Science, or a related field.- Experience building and scaling data pipelines on large tabular data using cloud and on-premises;- Understanding data requirements from the DS team;- Transforming raw data with issues into ready data for modeling;-...

Minimum 5 years of experience in designing and building Business Intelligence, ETL/ELT, Data Warehouse, Data Lake, Data Lakehouse, Big Data, OLAP class solutions Practical knowledge of various relational (e.g., SQL Server, Oracle, Redshift, PostgreSQL, Teradata) and non-relational database engines (e.g., MongoDB, Cosmos DB, DynamoDB, Neo4j, HBase,...

What do we need from you:  Strong expertise in MS SQL Server, including: Writing complex stored procedures, triggers, and functions Query tuning and performance optimization using tools like Execution Plans and SQL Profiler Hands-on experience with high-performance databases such as ClickHouse or similar solutions Deep understanding of OOP, Design...

5+ years of experience as a Data Engineer or ETL Developer, building large-scale data pipelines in a cloud environment (AWS, GCP, or Azure). Strong SQL expertise, including query optimization and data modeling. Hands-on experience with ETL/ELT tools such as Matillion, Rivery, SSIS, Talend, or similar. Solid understanding of data warehouse concepts...

What we expect 5+ years of professional experience as a Data Engineer or Software Engineer in data-intensive environments Strong Python development skills, with solid understanding of OOP, modular design, and testing (unit/integration) Experience with PySpark and distributed data processing frameworks Hands-on experience with Azure Data ecosystem,...

5–8 years of relevant experience. Knowledge of DSCS and DPTM is a plus. Strong experience with AWS services: S3, IAM, Redshift, Sagemaker, Glue, Lambda, Step Functions, CloudWatch. Hands-on experience with platforms like Databricks and Dataiku. Proficiency in Python or Java, SQL (preferably Redshift), Jenkins, CloudFormation, Terraform, Git, Docker. 2–3...

Proficiency in AWS – experience with data processing, storage, and orchestration services (such as AWS Lambda, Redshift, Glue, S3) Advanced SQL and Python skills – building pipelines, data transformation and quality checks, automation, and integration Working knowledge of Typescript and ability to create and maintain technical documentation Hands-on...

Strong Python expertise (pipeline development, ETL) Hands-on experience with Google Cloud Platform (BigQuery, Pub/Sub, Dataflow or similar) Familiarity with Apache Flink or willingness to learn (Java-based) Solid Backend Engineering background (e.g., Typescript, system architecture) Experience integrating external data sources (APIs, e-commerce platforms,...

What we expect 5+ years of professional experience in Data Science or ML Engineering, including production deployments MSc or PhD in Computer Science, Statistics, Mathematics, Physics, or related technical field Strong Python programming skills, including software engineering practices (OOP, modular code design, testing) Solid experience with ML frameworks...

Position Overview: As an AI/ML Engineer, you will play a crucial role in enhancing our platform’s capabilities by developing and refining machine learning models that drive accurate forecasting, event analysis, data-driven decision-making, and more. You will collaborate closely with product owners and engineering teams to implement scalable AI solutions...