Senior Data Engineer

Responsibilities & Requirements:

Experience in:

• Using data engineering tools (Python, SQL, ETL) to extract, Transform, and load the data.
• Using data visualization tools like Power BI, Tableau, and Cognos Analytics.
• IBM Products like (DataStage, Db2, Cloud Pak for Data).
• Data Lakehouse, and open-source tools like Hive, Iceberg, Spark, Presto, and Parquet.
• Data Cataloging, Governance, Quality, Privacy and Lineage.
• Graph Databases like Neo4J is a plus.

Qualifications:

• 4+ years of experience in data engineering and data visualization.
• Bachelor's degree in Computer Science or similar.