Das ist der Job
Responsibilities Writing code and implementing proposed solutions for data pipelines and ETL processes.
Darum lohnt es sich
Automating data workflows such as ingestion, aggregation, and processing to ensure reliability. Logging and instrumentation to maintain data accuracy, integrity, and security. Minimum Qualifications Minimum of 5+ years experience as a data engineer with advanced SQL and relational database design.
Strong Python skills with hands‑on experience in Pandas, NumPy, and related libraries. Experience with cloud data warehouses (Snowflake, Redshift, BigQuery) and data pipeline tools like Airflow. Medical Insurance, Life Insurance, and paid vacation (15 days) with additional days based on tenure.
Paternity and maternity leave as per local law, plus marriage, bereavement, and graduation leaves. Work from home allowance, punctuality and attendance bonuses, food tickets, and paid professional certifications.
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