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

Laboratory Animal Management Association

Telangana, India
On-site
Databricks platform and pyspark/spark data frame
Python code and sql-based models
Airflow for orchestration and monitoring
The Laboratory Animal Management Association is seeking a Senior Specialist, External and Scientific Engagement Data Engineer to join their Hyderabad team. This role focuses on designing and operating scalable data pipelines and requires strong technical skills in data engineering, along with the ability to lead and mentor teams

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

Match Score: 85

The Laboratory Animal Management Association is seeking a Senior Specialist, External and Scientific Engagement Data Engineer to join their Hyderabad team. This role focuses on designing and operating scalable data pipelines and requires strong technical skills in data engineering, along with the ability to lead and mentor teams.

Skills & Requirements

Must-have

  • Databricks platform and PySpark/Spark Data Frame
  • 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 data pipelines
  • ETL/ELT principles and data orchestration
  • DevOps concepts and CI/CD integration
  • Cross-time-zone communication and collaboration

Nice-to-have

  • Databricks Delta Lake features
  • Monitoring and observability tools
  • Data governance, lineage, and catalog tools
  • Leading and 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
  • Proficiency in SQL and modern data processing tools
  • Experience with dbt for transformation layering
  • Expert T-SQL and Azure SQL Database knowledge
  • Experience with Azure Data Factory
  • Familiarity with Infrastructure as Code (IaC)
  • Experience with CI/CD pipelines

Work Rights

Not specified

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