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PwC brand, metro Bangalore, mid-level range, and broad Databricks skills attract many qualified applicants.
Databricks and PySpark skills are transferable across industries, but role-specific cloud and domain preferences increase fit sensitivity.
Explicit 4-8 years and mandatory Databricks, PySpark, and cloud skills enforce strict screening.
Design, develop, and optimize data pipelines and ETL/ELT workflows using Databricks technologies including Delta Lake, Unity Catalog, and Delta Live Tables.
Leverage Python, PySpark, and SQL to implement robust data engineering solutions on cloud platforms AWS or Azure, ensuring scalable and efficient data processing.
Utilize knowledge of Lakehouse architecture, structured streaming, and Spark performance tuning to support advanced data analytics and business intelligence efforts.
4-8 years of relevant experience in data engineering with hands-on expertise in Databricks.
Strong programming skills in Python, PySpark, and SQL are mandatory.
Experience with AWS or Azure cloud platforms required.
Bachelor's or Master's degree in Engineering, Technology, or Business Administration (B.Tech/M.Tech/MBA/MCA).
Proficient in advanced Databricks features including Delta Lake, Unity Catalog, Delta Live Tables, and Spark optimization techniques.
Experience with MLflow, Databricks ML, CI/CD pipelines (Git), and orchestration tools like Airflow or Azure Data Factory is preferred.
Domain experience in healthcare and possession of Databricks certification enhance candidacy but are not mandatory.