IN-Senior Associate_Databricks Engineer _GCC_ Advisory_Bangalore
PwC IndiaMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and optimize data infrastructure and ETL/ELT pipelines on Databricks platform leveraging Python, PySpark, SQL.
Implement data integration and transformation solutions using Delta Lake, Unity Catalog, Delta Live Tables, and structured streaming.
Deliver Spark performance tuning and manage data workflows on AWS or Azure cloud environments.
Minimum Requirements
4-8 years of relevant experience in data engineering with strong focus on Databricks.
Proficiency in Python, PySpark, SQL coding and hands-on experience on AWS or Azure cloud.
B.Tech, M.Tech, MBA, or MCA degree required.
Strong understanding of Lakehouse architecture and Databricks ecosystem components (Delta Lake, Unity Catalog, DLT).
Ideal Candidate Profile
Experienced with Spark performance optimization and building ETL pipelines in Databricks environment.
Familiar with orchestration tools like Apache Airflow, Azure Data Factory, and CI/CD practices.
Certified in Databricks and/or domain experience in healthcare preferred but not mandatory.
