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Job Description
Structured overview of role & requirementsAbout This Role
Own and operate end-to-end production data pipelines from source ingestion to client delivery, focusing on reliability and scalability.
Redesign and build batch and streaming data pipelines incorporating change data capture, reconciliation, and data contracts for monitoring and valuation use cases.
Manage CI/CD and GitHub workflows for automated testing, deployment, and production incident response of data systems.
Minimum Requirements
10+ years of experience in data engineering with production systems.
Proficient with Snowflake or Databricks platforms including modelling, performance tuning, and cost management.
Strong skills in Python and SQL for pipeline development and testing.
Experience with Azure ecosystem (Databricks, ADLS) and GitHub-based CI/CD practices for data workloads.
Ideal Candidate Profile
Experienced in building secure, multi-tenant data platforms with tenant isolation and access control.
Familiar with advanced data engineering patterns: change data capture, event ordering and replay, streaming, and metadata-driven pipelines.
Comfortable working cross-functionally with client technical teams, product, and engineering stakeholders in a complex data environment.