Job Description
● 3+ years of experience in PySpark development and distributed data processing.

● Strong hands-on experience with Databricks (Notebooks, Jobs, Workflows, Delta Lake).

● Proficiency in writing efficient Spark transformations and Spark SQL queries.

● Experience building modular, reusable, and testable data pipelines.

● Exposure to workflow orchestration using Databricks Workflows or Apache Airflow.

● Familiarity with Git-based version control and basic CI/CD concepts.

● Basic understanding of cloud platforms such as Azure, AWS, or GCP.

● Good communication skills with the ability to document solutions clearly