Databricks Engineer || Infogain || Hybrid Work

Role & responsibilities

• Experience with Databricks, PySpark, and handling large volume of data
• Strong experience in data migration, ETL, and data integration processes.
• Proficient in Python, SQL, Pyspark and Scala (knowledge of Java is a plus).
• Knowledge of data warehousing and data lakes concepts.
• Familiarity with CI/CD processes for data workflows.
• Experience with Databricks-specific features such as Delta Lake and Databricks SQL
• Ability to communicate effectively with both technical and non-technical stakeholders.