Associate - Data Engineer-Data Engineering-Big Data Engineering

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.

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