Senior Data Engineer

Responsibilities & Requirements:

Experience in:

• Using data engineering tools (Python, SQL, ETL) to extract, transform, and load data.
• Using data visualization tools like Power BI, Tableau, and Cognos Analytics.
• IBM products like DataStage and 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 a similar field.