Senior Data Engineer

Data Warehouse ManagerDevelop, operate, optimize, test, and maintain the data warehouse, including ETL/ELT process development, cube development, database/performance administration, and dimensional table design. Drive the full life-cycle of back-end development for the data warehouse. Identify, design, and implement internal process improvements - redesigning infrastructure for scalability, optimizing data delivery, and automating manual processes. Define data retention policies. Build analytical tools that leverage the data pipeline to deliver actionable insight into key business metrics (operational efficiency, customer acquisition, etc.). Select and integrate tools for monitoring, managing, alerting on, and improving database performance. Develop and implement automated processes to ensure uninterrupted database updates and correction of vulnerabilities. Assemble large, complex datasets that meet functional and non-functional business requirements.5+ years of experience or 5+ completed projects. Advanced SQL and query optimization, with proficiency across popular database variations. Python for data engineering and automation. Cloud data platforms: Snowflake and/or Databricks. Cloud services: AWS and/or Azure. Data transformation and modeling with DBT. ETL/ELT pipeline design, development, and maintenance. Apache Spark (PySpark preferred). Workflow orchestration using Apache Airflow, Dagster, or another widely adopted orchestrator. Relational database design and performance tuning (PostgreSQL, MySQL, SQL Server, Oracle, etc.). Data warehousing concepts and dimensional modeling. Data management fundamentals: data modeling, data quality, metadata management, data warehouse/lake patterns, distributed systems. Version control using Git and CI/CD practices. Data governance, data quality, lineage, and observability practices. Security and access control implementation in cloud data platforms.Apache Kafka, Apache Flink, Apache Beam. Terraform, Kubernetes, Docker. Apache Iceberg, Delta Lake, or Apache Hudi. Real-time and event-driven architectures. AWS Glue, Amazon MWAA, Azure Data Factory. Data Mesh and Data Product concepts. Machine learning data pipelines, feature stores, or AI development experience. Streaming analytics and Change Data Capture (CDC) solutions (e.g., Debezium).Vacation as per the laws of your country. We do ask you to take a proper rest. Health insurance. We help you to take out an insurance policy for you and your loved ones. Sick pay. 10 days without a doctor's note, afterwards - as per the laws of your country. Equal opportunities. Time off for state holidays according to the official calendar, regardless of the client's schedule. Pleasant environment. Two large corporate parties and many small get-togethers for colleagues. Comfort service. Solving technical and everyday problems at work. More about the perks List of benefits in PDF The benefits package may vary depending on the region and the type of contract.