Job Responsibilities
Scope: Leads the design, build, and maintenance of scalable data pipelines. Works independently to execute specific data engineering projects from start to finish.
Accountability/Problem Solving: Solves complex data ingestion and processing problems. Optimizes data flows and actively enhances overall system performance.
Stakeholder Management: Engages directly with broader business units, business analysts and data scientists to thoroughly understand and meet their data needs. Communicates effectively with both technical and non-technical stakeholders.
Impact/Strategy: Handles big-sized data engineering projects. Implements robust strategies that significantly improve the organization's data infrastructure.
Complexity : Manages complex, large-scale data systems. Integrates multiple diverse data sources and ensures efficient, reliable data flow across platforms
Qualifications
6-10 years in data engineering with proven independent delivery of large-scale pipelines.
Demonstrated experience handling big-sized data engineering projects and managing complex, large-scale data systems.
Proven track record of independently building ETL/ELT processes and optimizing data storage solutions such as data warehouses and data lakes.
Experience ensuring data quality, reliability, and monitoring data systems
Technical Skills
Proficiency in programming languages such as SQL, Python, PySpark
Proficiency in AWS Cloud based Data Engineering skills - S3, Lambda, AWS Glue, Athena, Airflow, DAGs, RedShift, RDS, AWS DataSync, AWS Step Functions, QuickSight, dbt
Strong, expert knowledge of cloud platforms and Big Data tools, specifically Spark.
Strong data modeling (dimensional, data vault, lakehouse), partitioning and file formats.
Data quality, monitoring and incident troubleshooting experience
Experience building data products, designing a semantic layer, and handling unstructured data
Terraform or CloudFormation, Git-based CI/CD, containerization.
Advanced capability to solve complex data ingestion and processing problems, and to optimize data flows for enhanced system performance.
Preferred Qualifications
Exceptional communication and collaboration skills, with the proven ability to engage effectively with both technical audiences (like data scientists) and non-technical business stakeholders
HCP/HCO master data (Veeva Network, OneKey), patient-level longitudinal data, de-identification.
Commercial use cases: sales performance, market access, patient journey, next best action
AWS certification (Data Engineer Associate, Solutions Architect, Big Data Specialty).
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Who we are
A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let’s build a healthier future, together.
Roche is an Equal Opportunity Employer.
