Data Engineering Leader

4 days ago

Kurnool, Andhra Pradesh, India beBeeEngineering Full time ₹ 1,52,15,882 - ₹ 2,38,82,137
About the Role

As a Senior Data Engineer, you will play a pivotal role as a technical leader and communicator within the data products team. You will contribute directly to designing and developing scalable data systems while acting as a bridge between engineering teams and business stakeholders.

This position requires a unique blend of technical expertise, leadership skills, and business acumen to drive project deliverables and timelines effectively. Key responsibilities include:

  1. Driving Development Efforts: Contribute high-quality, scalable, and maintainable code across data pipelines, APIs, and platform components.
  2. Owning Project Deliverables: Ensure alignment at every step by communicating project plans and progress to internal and external stakeholders.
  3. Translating Business Needs: Partner closely with product, analytics, and engineering teams to deliver end-to-end value to customers.
  4. Designing Robust Data Architectures: Support analytics, APIs, and machine learning initiatives by designing and delivering future-proof data architectures.
  5. Leading Technical Execution: Clearly communicate progress and address roadblocks proactively.
  6. Cross-Functional Collaboration: Co-develop architectural roadmaps, implementation plans, and go-live strategies that meet business requirements.
  7. Stakeholder Engagement: Provide clear, actionable updates on technical progress, dependencies, and constraints.
  8. Platform Optimization: Guide optimization efforts, including cost efficiency, performance, reliability, and maintainability.
  9. Data Governance: Set best practices for data governance, lineage, quality, and security in a distributed data environment.
  10. Mentoring Engineers: Foster a strong technical culture and continuous learning environment.
Requirements and Qualifications
  • 10-20 years of development experience in data engineering, including direct contribution to 24x7 production systems.
  • Advanced skills in Python and/or Golang, SQL, and current cloud data platforms (e.g., Databricks, BigQuery, Snowflake).
  • Strong experience in communicating complex project plans and deliverables to both technical and business audiences.
  • Track record of developing and operating scalable data pipelines, APIs, and data platform components in real-world environments.
  • Experience working directly with external stakeholders or customers, either in consulting, enterprise data delivery, or technical leadership roles.
  • Deep understanding of batch and real-time data architectures, data modeling, and data warehousing.
  • Hands-on experience with cloud-native ecosystems (GCP, AWS, or Azure), CI/CD pipelines, and infrastructure as code.
  • Proficiency in setting up data observability, quality frameworks, and governance controls in distributed systems.
  • Strong ability to translate ambiguous business needs into scoped, deliverable projects.
  • Demonstrated success in stakeholder engagement, influencing outcomes, and building long-term trust.
  • Technical leadership in prior roles with clear individual contributions to architecture, development, and delivery.
  • Mentoring experience and a passion for helping others grow technically and professionally.
Benefits

This role offers a dynamic work environment where you can apply your technical expertise to drive business growth. As a key member of our team, you will have opportunities to:

  • Contribute to cutting-edge data engineering projects.
  • Collaborate with cross-functional teams to deliver results.
  • Develop your technical leadership skills through mentoring and coaching.

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