Walk-in || Databricks Data Engineer

NOTE: Please carry a copy of your Aadhar or PAN Card Xerox

Relevant Experience Required

• Hands-on experience in developing, maintaining, and optimizing data pipelines using Databricks.
• Knowledge of ETL/ELT pipelines, data ingestion, transformation, and orchestration.
• Exposure to data lake, data warehouse, or lakehouse architectures.
• Experience with data migration, integration, and automation.
• Collaboration with senior engineers, architects, and analytics teams for solution delivery.
• Familiarity with security, access control, and compliance best practices.
• Working experience in Agile and DevOps environments

Must Have Skills

• Hands-on experience with Databricks platform, including:
• PySpark / Spark SQL for data processing and transformation
• Delta Lake for ACID-compliant data storage
• Notebooks for workflow orchestration and collaborative development
• Strong programming skills in Python and SQL.
• Experience in data ingestion from batch and streaming sources.
• Knowledge of ETL/ELT design patterns and data pipeline optimization.
• Familiarity with cloud data storage and compute environments (AWS, Azure, or GCP).
• Basic understanding of workflow orchestration tools (Airflow, Databricks Jobs).
• Exposure to DevOps concepts, CI/CD pipelines, and version control (Git).
• Awareness of data security, access control, and compliance considerations.
• Understanding of performance tuning, partitioning, and caching strategies in Spark.

Responsibilities

• Develop and maintain scalable data pipelines using Databricks (PySpark, Delta Lake).