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
Python code and sql-based models
Airflow for orchestration and monitoring
Be part of an organization 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 organization 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.
Lead and mentor offshore developers: delegate tasks, review code, provide feedback, run knowledge transfers, and maintain effective cross–time-zone communication.
Matching Summary
Be part of an organization 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
Airflow for orchestration and monitoring
GitHub for source control and CI/CD
Data models (relational, analytical, lakehouse)
Cloud environments data pipeline development
ETL/ELT principles and data modeling
Nice-to-have
Unity Catalogue and Apache Atlas
Data governance and lineage tools
Mentoring offshore development teams
Proactive ownership and high-quality practices
Key Requirements
7+ years of hands-on experience in data engineering
Bachelor’s degree in data engineering, Computer Science, or related field
Strong proficiency in SQL and modern data processing tools
Experience designing and maintaining production-grade data pipelines
Familiarity with DevOps concepts and CI/CD integration