remote
Associate Director, Data Engineer - Merck
Data Engineer
Lead data engineering initiatives for a global biopharma organization, designing scalable cloud data pipelines and architecture using Python, SQL, Spark, and AWS to support advanced analytics and digital strategy.
About the role
Key Responsibilities
- Define and execute the data engineering strategy for digital data initiatives, ensuring alignment with business goals and regulatory requirements.
- Architect, build, and maintain scalable, high‑performance data pipelines on AWS using Python, SQL, and Apache Spark.
- Lead a team of data engineers, providing technical mentorship, code reviews, and fostering best practices in data modeling and ETL processes.
- Collaborate with data scientists, analysts, and business stakeholders to translate analytical needs into robust data solutions.
- Implement data governance, security, and quality frameworks across cloud data platforms.
Requirements
- 10+ years of experience in data engineering, with at least 3 years in a lead or managerial role.
- Strong expertise in Python, SQL, and Apache Spark for large‑scale data processing.
- Hands‑on experience designing and operating data solutions on AWS (e.g., S3, Redshift, Glue, EMR).
- Proven ability to design data architectures, data models, and ETL pipelines that support analytics and machine‑learning workloads.
- Excellent communication and stakeholder management skills, with a track record of delivering complex projects on time.
Skills
pythonsqlapache sparkaws