Senior Data Engineer

18 hours ago

Kurnool, Andhra Pradesh, India beBeeDataEngineer Full time US$ 1,80,000 - US$ 2,50,000

As a key member of our organization, the Practice Lead – Data Engineering & Science will be responsible for leading the development of scalable, high-performance data platforms and advanced analytics capabilities across the enterprise.

This role combines deep technical expertise in modern data engineering with a strong foundation in data science to enable data-driven innovation, operational efficiency, and AI readiness.

  • Data Platform Strategy:
  • Define and execute a modern data engineering strategy aligned with enterprise goals.
  • Architect scalable, cloud-native data platforms using technologies like Spark, Kafka, Delta Lake, and Snowflake.
  • Practice Building & Talent Development:
  • Build and scale a high-performing team of data engineers and scientists.
  • Design internal training programs and career pathways to upskill talent in data engineering and analytics.
  • Engineering & Delivery Enablement:
  • Lead the development of reusable data pipelines and feature stores.
  • Implement CI/CD practices for data lifecycle automation.
  • Advanced Analytics & Data Science Enablement:
  • Enable rapid experimentation and deployment of predictive models and statistical analyses.
  • Foster collaboration between data scientists and engineers to operationalize models at scale.
  • Governance & Quality:
  • Establish data governance frameworks and ensure compliance with regulations.
  • Ensure data quality and serve as a key stakeholder in data governance councils.

The ideal candidate should have a strong background in data engineering and analytics, with experience in building and scaling data teams. They should also possess hands-on expertise with tools like Apache Spark, Airflow, dbt, MLflow, TensorFlow/PyTorch, and cloud data platforms.

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