Data Engineer - GCH

Zensar · Remote

Source and collection record

Last observed by our collector: 9 October 2026 at 12:32 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 151451

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

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Collected role description

1. Data Engineer: Core Skills and Knowledge: - 7-9 years of experience in data engineering. - Hands-on experience with Databricks (Delta Lake, notebooks, Databricks Workflows). - Strong programming skills in Python and SQL. - Working knowledge of Apache Spark (PySpark preferred) for data transformation. - Experience with either AWS (S3, Glue, EMR) or Azure (ADLS Gen2, Data Factory, Synapse) services. - Understanding of data modeling concepts (star schema, dimensional modeling). - Familiarity with version control (Git) and basic CI/CD practices. Desirable Skills: - Databricks Certified Data Engineer Associate (or working toward it). - Exposure to streaming data pipelines (Structured Streaming, Kafka, Kinesis, or Event Hubs). - Familiarity with orchestration tools (Airflow, Databricks Workflows). - Basic understanding of data governance and security practices (PII masking, access control). - Exposure to Power BI or other BI tools for understanding downstream

Collected experience requirement

4-7 years