Senior Data Engineer

Responsibilities & Requirements:

Experience in:

1. Using data engineering tools (Python, SQL, ETL) to extract, transform, and load the data.
2. Using data visualization tools like Power BI, Tableau, and Cognos Analytics.
3. IBM products like DataStage, Db2, and Cloud Pak for Data.
4. Data Lakehouse and open-source tools like Hive, Iceberg, Spark, Presto, and Parquet.
5. Data cataloging, governance, quality, privacy, and lineage.
6. Graph databases like Neo4J is a plus.

Qualifications:

1. 4+ years of experience in data engineering and data visualization.
2. Bachelor's degree in Computer Science or similar.