Senior Data Engineer - Bir Ecosystem

Degree in computer science, information science, engineering, mathematics, or related technical discipline 5+ years experience with SQL and NoSQL technologies Strong experience working with Oracle and PostgreSQL databases Extensive experience in ETL development, with strong skills in Python programming Advanced knowledge of PySpark for large-scale distributed data processing Proficient in Airflow for scheduling, orchestrating and monitoring complex ETL/ELT workflows Expertise in Kafka for event streaming and messaging pipelines Experience working with MinIO (S3-compatible storage), managing data in Parquet and Iceberg formats Familiarity with Lakehouse concepts Deep understanding of MPP architecture concepts The following experience will be considered as an advantage: Familiarity with Impala for interactive SQL querying on Big Data Experience with Greenplum Familiarity with containerization (Docker, Kubernetes) Experience with CDC tools like Debezium and Oracle GoldenGate for real-time data replication Experience with data visualization tools (e.g. Tableau, PowerBI, etc.) Understanding of DataOps and DevOps principles Knowledge of data modeling and database design Experience with data engineering best practices, such as data security, data access control and data governance Knowledge of Grafana for monitoring metrics Proficient with GitLab for version control Experience mentoring junior data engineers and collaborating with cross-functional teams (Data Scientists, Analysts, DevOps)