Senior Specialist, External And Scientific Engagement (ese) Data Engineer
Merck & Co., Inc., Rahway, New Jersey, USA
Hyderabad, India
Hybrid
Databricks platform and pyspark/spark data frame transformations
Python code and sql-based models
Automated tests for correctness
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 transformations
Python code and SQL-based models
Automated tests for correctness
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
Azure SQL Database, Azure Data Factory
Strong documentation habits
Nice-to-have
Databricks Delta Lake features
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