Associate - Data Engineer-Data Engineering-Big Data Engineering (India)

Job Description: 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.

Responsibilities: 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.
• Solid 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.

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