Full-Time Data Engineer II
Precisionaq is hiring a remote Full-Time Data Engineer II. The career level for this job opening is Experienced and is accepting India based applicants remotely. Read complete job description before applying.
Precisionaq
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Position Summary:The Data Engineer II is responsible for designing, developing, and ensuring ongoing quality management of processes and workflows (Data Pipeline, Analytics Platform, Product Delivery) built on our technology stack. This supports Precision products and/or applications involving data management and analytics across a range of healthcare information.
Key Responsibilities:
- Translate business requirements into technical requirements
- Partner with SMEs to develop ad-hoc data queries and support tools
- Manage and improve monthly data operations processes for multiple product lines
- Actively contribute to DevOps platforms for systematic codebase management
- Own previously built solutions and support future enhancements
- Carry out existing and build new data ETLs for data management
- Manage CI/CD pipelines for dashboards and datasets, ensuring change management and version control
- Conduct risk-based code reviews
- Work with the Product Team on new application enhancements and features
- Interact with end users, internal users, vendors, data analysts, and engagement team members
- Execute internal development tasks
- Automate data loading and validation tasks
Qualifications:
- Bachelor’s degree in Engineering (B.E.) or Technology (B. Tech.) or Computer Science preferred
- Minimum 2 years’ experience designing and reviewing complex data ecosystems with a focus on data analysis systems (data warehousing, reporting, strategic analytics)
- 1+ years’ experience with cloud-based infrastructure (AWS, Azure, etc.), cloud database management (e.g., Redshift)
- Experience with Stored procedures (preferably for ETL automation)
- Fluency with SQL (Procedures), data warehousing, data analysis, and cloud-based technology
- Fluency with code versioning systems/tools (Git), and experience with CI/CD setups (preferably Azure DevOps)
- Experience in Life Sciences
- Experience leading technical discussions (e.g., technology reviews)
- Experience working in an onshore-offshore model
Preferred Qualifications:
- Experience with the US Healthcare system and its key data sources
- Experience with US Pharmaceutical Commercialization (Market Access or Commercial Operations)
- Experience with Redshift
- Experience with Python
- Experience with an ETL tool or ETL setup