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

mnssazn.top

Hyderabad, India
Hybrid
Databricks platform and pyspark/spark data frame
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.
  • This role provides a unified, scalable, and high-quality approach to data across multiple business areas and strengthening consistency in data pipelines, data models, and architecture patterns.

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 Data Frame
  • 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 data models
  • Cloud environments data pipelines
  • ETL/ELT principles, data modeling, distributed processing
  • DevOps concepts, CI/CD integration
  • T-SQL, DDL, DML, CTEs, window functions
  • Azure SQL Database, PaaS offerings
  • Azure Data Factory pipelines, triggers, parameters
  • Database management, elastic job agent, automation
  • Infrastructure as Code (IaC)
  • CI/CD pipelines, build, deployment, release practices
  • Technical design documents, source-to-target mappings
  • Data quality, governance, and security standards

Nice-to-have

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

Key Requirements

  • 7+ years of hands-on experience in data engineering
  • Bachelor’s degree in data engineering, Computer Science, Information Systems, or related field preferred
  • Experience implementing dbt for transformation layering and model testing
  • Ability to troubleshoot complex data issues
  • Strong documentation habits
  • Excellent communication and collaboration skills

Work Rights

Not specified

Tailored Resume

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