Senior Specialist, External And Scientific Engagement (ese) Data Engineer

Mayoly

Hyderabad, India
Hybrid
Databricks platform and pyspark/spark
Python code and sql-based models
Orchestrate, schedule, and monitor workflows using airflow
Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products

Job Summary

  • Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products.
  • The Data Engineer will serve as a key internal expert responsible for modern data engineering across our company Products.
  • Lead and mentor offshore developers: delegate tasks, review code, provide feedback, run knowledge transfers, and maintain effective cross–time-zone communication.

Matching Summary

Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products.

Skills & Requirements

Must-have

  • Databricks platform and PySpark/Spark
  • Python code and SQL-based models
  • Orchestrate, schedule, and monitor workflows using Airflow
  • GitHub for source control, code reviews, and CI/CD
  • Design and maintain production-grade data pipelines
  • ETL/ELT principles, data modeling, distributed processing
  • Troubleshoot complex data issues

Nice-to-have

  • Unity Catalogue and Apache Atlas
  • Data governance, lineage, and catalog tools
  • Monitoring and observability tools
  • Intellectually curious and collaborative

Key Requirements

  • 7+ years of hands-on experience in data engineering
  • Bachelor’s degree in data engineering, Computer Science, Information Systems, or related field
  • Expert T-SQL mastery
  • Azure SQL Database deep knowledge
  • Azure Data Factory experience
  • Familiarity with Infrastructure as Code (IaC)

Work Rights

Not specified

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