IN-Manager_Databricks Engineer _GCC_ Advisory_Bangalore
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Job Description
Structured overview of role & requirementsAbout This Role
Develop and implement scalable data pipelines and ETL/ELT solutions using Databricks with expertise in Python, PySpark, SQL, and Delta Lake.
Optimize Spark performance and manage data infrastructure on AWS or Azure to enable efficient data processing and analytics.
Leverage advanced Databricks features such as Unity Catalog, Delta Live Tables, Auto Loader, and Databricks Workflows to support lakehouse architecture and integrate orchestration tools.
Minimum Requirements
7-12 years of work experience in data engineering or related roles.
Strong coding skills in Python, PySpark, and SQL with hands-on experience in Databricks.
Experience with cloud platforms AWS or Azure and strong knowledge of Spark performance tuning.
Bachelor's or Master's degree in Engineering, Technology, Business Administration, or equivalent (B.Tech/M.Tech/MBA/MCA).
Ideal Candidate Profile
Proven ability to build and optimize complex ETL/ELT pipelines leveraging Databricks and related technologies within cloud environments.
Experience with advanced Databricks capabilities including unity catalog, Delta Live Tables, and streaming is a strong fit.
Prior exposure to domain-specific environments such as healthcare or certifications in Databricks preferred but not mandatory.