Data Engineer (AWS) - Pune India

Job Description

Position Summary:

The Data Engineer supporting HEOR will have a track record of designing and developing reliable data ingestion pipelines from multiple process and operational data stores using cloud-based technologies.  These pipelines will require data validation and data profiling automation using version control to ensure ongoing resiliency and maintainability of the inbound data flows supporting business intelligence, advanced analytics and consulting projects.

Essential functions of the job include but are not limited to: (This is NOT meant to be an exhaustive task list)

• Manage monthly data warehouse activities
• Collaborate with Director of Research to design and develop data pipelines/processes within our AWS environment inclusive of unit tests, integration tests and utilization functions
• Collaborate with internal stakeholders to identify data ingestion requirements for structured, unstructured, and semi-structured data, pilot their implementation, and ensure user acceptance
• Collaborate with Director of Research Programming and IT to define and implement automated profiling capabilities needed to ensure reliable data transfer, using agile software development and CI/CD practices
• Collaborate with Director of Research Programming to develop and implement data governance processes to support a robust and well documented data lake environment
• Support ad-hoc, project-based data extraction and processing of structured and unstructured data
• Work with Research Programming team in planning and design sessions

Qualifications:

Minimum Required:

• Bachelor’s degree required in Computer Science, Engineering, Math, Software Engineering or related discipline
• 3+ years of production experience using SQL
• 3+ years of experience developing batch ingestion pipelines
• 3+ years of DevOps experience with AWS platform services, including AWS S3 & EC2, Data Migration Services (DMS), RedShift

 Other Required:

• Proven success in communicating with users and other technical teams to collect requirements, describe data modeling decisions and data engineering strategy
• Excellent organizational skills including prioritization of multiple concurrent projects while still delivering timely and accurate results
• Experience with agile software development & continuous integration + continuous deployment methodologies along with supporting tools such as Git (Github/Gitlab), Jira, etc.

Preferred:

• Established enterprise ETL and integration tools
• Experience with health care data (administrative claims, EMR, etc.)
• Experience supporting Data and Analytics or SaaS-based enterprise products
• Experience in managed markets and pharma market access ecosystem
• Knowledge of HEOR outcome studies
• 3+ years of demonstrated production programming proficiency in at least 1 modern JVM language, with a preference for Python Related (Jython/ZipPy) or R Related (Renjin/FastR)
• Strong, hands-on technical familiarity with AWS platform technology and tools

Competencies:

• Communication, Ethics and Integrity, Forward Thinking, Planning and Organization, Stress Management, Thoroughness, Written Communication

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