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