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

Merck & Co., Inc., Rahway, New Jersey, USA

Hyderabad, India
Hybrid
Databricks platform and pyspark/spark
Python code and sql-based models
Airflow for orchestration and monitoring
Join a global healthcare biopharma company with a 130-year legacy, driven by digital technology and data-backed approaches

Job Summary

  • Join a global healthcare biopharma company with a 130-year legacy, driven by digital technology and data-backed approaches.
  • Design, build, and operate reliable, scalable data pipelines and curated data layers to enable analytics and data-driven products.
  • Lead and mentor an offshore development team, coordinating tasks, ensuring code quality, and fostering collaboration across time zones.

Matching Summary

Join a global healthcare biopharma company with a 130-year legacy, driven by digital technology and data-backed approaches.

Skills & Requirements

Must-have

  • Databricks platform and PySpark/Spark
  • Python code and SQL-based models
  • Airflow for orchestration and monitoring
  • GitHub for source control and CI/CD
  • Data models (relational, analytical, lakehouse)
  • Cloud environments and ETL/ELT principles
  • DevOps concepts and CI/CD integration
  • Azure Data Factory and automation

Nice-to-have

  • Databricks Delta Lake features
  • Monitoring and observability tools
  • Data governance, lineage, and catalog tools
  • Leading or mentoring offshore teams

Key Requirements

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

Work Rights

Not specified

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