Senior Data Engineer

Tasks

• Build data pipelines
• Collaborate with data scientists
• Design data pipelines
• Develop ETL workflows
• Ensure data governance
• Ensure data quality
• Implement best practices in data engineering
• Maintain ETL workflows
• Maintain data pipelines
• Manage data lakes
• Manage data warehouses
• Monitor data pipelines
• Optimize data processing
• Support batch data processing
• Support real-time data processing
• Troubleshoot data pipelines

Perks/Benefits

• English classes
• Office lunch
• Paid holiday
• Private medical insurance
• Professional development
• Remote work
• Sport compensation
• Travel allowance

Skills/Tech-stack

Airflow | Apache Iceberg | BigQuery | Cloud AWS | Cloud GCP | Dagster | Data Modeling | Data pipeline | Data pipeline orchestration | Databases | Docker | Flink | Generative AI | Kafka | Kubernetes | Open Table Formats | Open table | Pipeline Orchestration | Prefect | Python | Redshift | SQL | Schema evolution | Spark | Table formats | Trino