Lead Data Engineer

2 days ago

bangalore district, India Genisys Group Full time

What You’ll Do

  • Take ownership of pipeline stability and performance across our GCP-based stack (BigQuery, GCS, Dataprep/Dataflow)
  • Lead the enhancement of our existing ETL workflows to support better modularity, reusability, and error handling
  • Help introduce lightweight governance practices —including column-level validation, source tracking, and transformation transparency
  • Support development of a semantic layer (e.g., KPI definitions, normalized metric naming) to reduce rework and support downstream users
  • Work with analysts and dashboard developers to structure data outputs for intuitive use and parameterization
  • Collaborate with team leadership to prioritize improvements based on impact and feasibility
  • Support platform readiness for automated reporting , predictive modeling , and AI-enhanced analysis
  • Contribute to team culture through clear documentation, mentoring, and code review
  • Participate in hiring, onboarding, and evolving our internal standards

What We’re Looking For

Must-Have:

  • 4–6+ years of experience in data engineering, preferably in a fast-paced agency or multi-client environment
  • Solid command of Google Cloud Platform , especially BigQuery, GCS, and Cloud Dataprep (Alteryx) or Dataflow
  • Strong SQL and Python skills with a focus on transformation and data reliability
  • Experience building and maintaining ETL pipelines in production
  • Familiarity with metadata-driven development , version control, and task orchestration (Airflow or equivalent)
  • Proven ability to balance individual execution with team collaboration
  • Clear communicator, able to translate technical trade-offs to non-technical stakeholders

Nice-to-Have:

  • Experience applying basic data governance principles (e.g., lineage tracking, validation frameworks, naming conventions)
  • Exposure to building or maintaining a semantic layer (via dbt, LookML, etc.)
  • Familiarity with AI/ML workflows or tooling for automated insight generation
  • Understanding of marketing or media datasets
  • Experience developing custom marketing attribution models

Experience mentoring junior team members or participating in code/process standardization

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