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Job Description
Structured overview of role & requirementsAbout This Role
Own and manage client data engineering projects using Databricks platform with focus on data pipelines and large volume processing.
Lead teams or pods handling implementation of Medallion architecture, Lakehouse, Genie, Unity Catalog and related data engineering components.
Estimate project work, communicate effectively with clients, and ensure delivery excellence in data-focused engagements mainly in capital markets/investment management domain.
Minimum Requirements
10+ years professional experience in data engineering with specific focus on Databricks.
Strong programming skills in Python, SQL, and Spark.
Experience with capital markets or investment management clients.
Candidate must reside within daily commutable distance of Bangalore office and willing to work full time onsite.
Ideal Candidate Profile
Experienced in implementing Medallion architecture, Lakehouse, Genie, Unity Catalog on Databricks at scale.
Demonstrated ability to lead client projects and data engineering teams/pods with responsibility for estimation and delivery.
Background in capital markets or investment management data engineering contexts to understand domain specific requirements.