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Data Engineer II
Precision AQ
posted 2mon ago
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Key skills for the job
Job Description
- Ability to 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
- Active contributor on DevOps platforms to systematically manage code-base
- Take ownership of previously built solutions and support future enhancements
- Carry out existing and build new data ETLs for data management
- Manage continuous integration / continuous deploy (CI/CD) pipelines for dashboards and datasets for the organization ensuring change management and version control for data assets
- Conduct risk-based code reviews for solutions authored by our development partners
- Work with the Product Team to implement new application enhancements and features
- Interact with end users, internal users, development vendors, data analysts, and other engagement team members.
- Carry out internal dev tasks as delegated
- Work on automating various data loading as well as data validation tasks
Qualifications
- Bachelor s degree in engineering (B.E.) or in Technology (B. Tech.). Degree in computer science or related fields preferred.
Minimum Required
- Minimum 2 years experience designing and reviewing complex data ecosystems with focus on data analysis systems including data warehousing, reporting, and strategic analytics
- 1+ years experience with cloud-based infrastructure (AWS, Azure, et al.), cloud database management (e.g., Redshift)
- Working Experience with Stored procedures preferably for ETL automation
Other Required:
- Fluency with SQL (Procedures), data warehousing, data analysis and experience with cloud based technology
- Fluency with code versioning systems/ tools - Git, and experience with CI/CD setups, preferably Azure DevOps (or any other)
- Experience in Life Sciences
- Experience leading technical discussions such as technology reviews
- Experience working in an onshore-offshore model
Preferred:
- Experience with the US Healthcare system and its key data sources. Experience with US Pharmaceutical Commercialization including Market Access or Commercial Operations
- Experience with Redshift
- Experience with Python
- Experience with an ETL tool or an ETL setup
Employment Type: Full Time, Permanent
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