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Data Engineer - GCH

fa-etvl-saasfaprod1

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Questions you are likely to be asked

  1. Why do you want to join fa-etvl-saasfaprod1?
  2. What is your experience with Databricks? Tell me one thing you learned the hard way.
  3. When would you not use machine learning for a problem?
  4. Walk me through a model you built, from the data to how it was used.
  5. How did you know your model was actually good, and not just good on your test set?

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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

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Listed on oraclehcm · posted 2026-09-25. ApplySarthi collects openings and links to application pages; the role is advertised by fa-etvl-saasfaprod1, not by us.