Senior Specialist, External And Scientific Engagement (ese) Data Engineer
29
Hyderabad, India
Hybrid
Databricks platform and pyspark/spark
Python code and sql-based models
Airflow for workflow orchestration
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
Python code and SQL-based models
Airflow for workflow orchestration
GitHub for source control
Data models (relational, analytical, lakehouse)
Cloud environments data pipelines
ETL/ELT principles, data modeling
DevOps concepts, CI/CD integration
Azure SQL Database, Azure Data Factory
T-SQL mastery
Nice-to-have
Unity Catalogue, Apache Atlas
Databricks Delta Lake features
Monitoring and observability tools
Data governance, lineage, catalog tools
Leading or mentoring offshore teams
Key Requirements
7+ years of hands-on experience
Bachelor’s degree in data engineering, Computer Science, Information Systems, or related field
Experience implementing dbt for transformation layering