Data Engineer

4 days ago

Greater Bengaluru Area, India Genisys Group Full time ₹ 20,00,000 - ₹ 25,00,000 per year
  • 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

Must-Have:

  • 6-8+ 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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