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Associate - Data Engineer-Data Engineering-Big Data Engineering

Open 53d reposted 2× · 2 open copies

Required Skills & Experience

  • 5–7 years of experience in data engineering, with at least 2–3 years of Databricks hands-on experience.
  • Strong expertise in Apache Spark (PySpark/Scala/SQL) and distributed data processing.
  • Solid experience with Delta Lake, Lakehouse architecture, and data modeling.
  • Hands-on experience with at least one cloud platform: Azure Data Lake, AWS S3, or GCP BigQuery/Storage.
  • Strong proficiency in SQL for data manipulation and performance tuning.
  • Experience with ETL frameworks, workflow orchestration tools (Airflow, ADF, DBX Workflows).
  • Good understanding of CI/CD, Git-based workflows, and DevOps practices.
  • Exposure to MLOps and MLflow is a strong plus.
  • Knowledge of data governance, cataloging, and security frameworks.


Required Skills & Experience

  • 5–7 years of experience in data engineering, with at least 2–3 years of Databricks hands-on experience.
  • Strong expertise in Apache Spark (PySpark/Scala/SQL) and distributed data processing.
  • Solid experience with Delta Lake, Lakehouse architecture, and data modeling.
  • Hands-on experience with at least one cloud platform: Azure Data Lake, AWS S3, or GCP BigQuery/Storage.
  • Strong proficiency in SQL for data manipulation and performance tuning.
  • Experience with ETL frameworks, workflow orchestration tools (Airflow, ADF, DBX Workflows).
  • Good understanding of CI/CD, Git-based workflows, and DevOps practices.
  • Exposure to MLOps and MLflow is a strong plus.

Bachelor's/Master's in Engineering 0-2 years

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