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Lead Data Engineer, Sr. Specialist
MSDLead Data Engineer architecting scalable data platforms and driving innovation for a global healthcare biopharma company. Working with a diverse portfolio of prescription medicines, vaccines, and animal health products.
Tech Stack
Tools & technologiesAirflowAmazon RedshiftApacheAWSCloudPythonSparkSQL
About the role
Key responsibilities & impact- Lead the design and implementation of end-to-end data engineering solutions
- Architect and optimize large-scale data pipelines using Spark, Python, and SQL
- Design and manage orchestration frameworks using Apache Airflow
- Build scalable and cost-efficient solutions on AWS ecosystem (S3, Glue, Redshift, Lambda)
- Drive development and optimization of Databricks-based data platforms
- Collaborate with cross-functional stakeholders to deliver business value
- Implement and drive CI/CD practices, including GitHub Actions
Requirements
What you’ll need- Typically 9+ years of experience in data engineering (Lead role)
- Strong expertise in SQL, Python, and Apache Spark
- Extensive hands-on experience with Apache Airflow
- Deep experience with AWS cloud services (S3, Glue, Redshift, Lambda)
- Strong experience building solutions on Databricks platform
- Proven experience in data architecture, modeling, and big data systems
Benefits
Comp & perks- Flexible Work Arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringSQLPythonApache SparkApache AirflowAWSDatabricksdata architecturedata modelingbig data systems
Soft Skills
leadershipcollaborationcommunication