Databricks Professional

Job description

Educational Requirements • BTech • BCA • BSc • MTech • MCA • MSc Service Line • Data Analytics Unit Responsibilities • 25 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. Technical and Professional Requirements • Primary skills:Domain- >other solutions- >Finacle Virtual Lounge- >Grand Master Preferred Skills • Technology- >Data Engineering- >Databricks