Required Skills & Experience
5–7 years of experience in data engineering, with at least 2–3 years of Databricks hands-on experience.
Solid 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.
Robust proficiency in SQL for data manipulation and performance tuning.
Experience with ETL frameworks, workflow orchestration tools (Airflow, ADF, DBX Workflows).
Positive 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.
📌 Associate Data Engineer Data Engineering Big Data Engineering Pune
🏢 EXL
📍 Pune
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