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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain ETL pipelines and data integration workflows for measuring engineering productivity.
Build and optimize APIs (GraphQL, REST via FastAPI) to serve data and integrate with internal and external systems.
Collaborate with cross-functional teams to define requirements and ensure data integrity, security, and performance at scale.
Minimum Requirements
8+ years of professional Python development experience.
Strong experience building ETL pipelines and data integration workflows.
Proficiency with PostgreSQL (schema design, queries, tuning) and MongoDB (document design, indexing).
Experience developing APIs using FastAPI or equivalent frameworks; familiarity with asynchronous Python programming.
Ideal Candidate Profile
Experienced in handling large datasets with a focus on data modeling, database best practices, and performance optimization.
Comfortable working in cross-functional teams within a data-driven, developer productivity measurement context.
Skilled in problem-solving and debugging complex data pipelines and APIs, with exposure to cloud deployment environments (OpenShift/AWS/Azure/GCP) considered a plus.