Data Engineering Leadership Position

1 week ago

Bengaluru, Karnataka, India beBeeDataEngineer Full time ₹ 15,88,318 - ₹ 24,98,510

Job Opportunity:

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  • This is an exceptional chance to be part of a data engineering team as a Lead Data Engineer.
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About the Role:

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We are seeking a seasoned professional with 4–6+ years of experience in data engineering, preferably in a fast-paced environment. The ideal candidate will have a solid command of Google Cloud Platform, especially BigQuery, GCS, and Cloud Dataprep (Alteryx) or Dataflow.

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Key Responsibilities:

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  1. Oversight of pipeline stability and performance across our GCP-based stack.
  2. Enhancing existing ETL workflows for better modularity, reusability, and error handling.
  3. Introduction of lightweight governance practices, including column-level validation, source tracking, and transformation transparency.
  4. Sponsorship of the development of a semantic layer to reduce rework and support downstream users.
  5. Collaboration with analysts and dashboard developers to structure data outputs for intuitive use and parameterization.
  6. Working with team leadership to prioritize improvements based on impact and feasibility.
  7. Supporting platform readiness for automated reporting, predictive modeling, and AI-enhanced analysis.
  8. Contributing to team culture through clear documentation, mentoring, and code review.
  9. Participation in hiring, onboarding, and evolving our internal standards.
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Requirements:

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  • 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.
  • Proven ability to balance individual execution with team collaboration.
  • Clear communicator, able to translate technical trade-offs to non-technical stakeholders.
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Desirable Skills:

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  • Experience applying basic data governance principles.
  • Exposure to building or maintaining a semantic layer.
  • Familiarity with AI/ML workflows or tooling for automated insight generation.
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