Responsibilities :
2â€5 years of experience in Data Engineering / Big Data development. Hands-on experience with Databricks platform. Strong knowledge of Apache Spark (PySpark / Scala / SQL). Experience with data pipeline development (ETL/ELT). Proficiency in Python and SQL. Knowledge of data modeling and data warehousing concepts. Experience working with large datasets and distributed systems.
Additional Responsibilities:
Experience with cloud platforms (Azure Databricks, AWS, or GCP). Familiarity with Delta Lake and Lakehouse architecture. Experience with workflow orchestration tools (Airflow, Azure Data Factory). Knowledge of CI/CD pipelines for data engineering. Exposure to streaming data (Kafka, Structured Streaming). Experience with BI tools like Power BI, Tableau.