Data Engineer II

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Requirements:

• Bachelor’s degree in engineering (B.E.) or Technology (B. Tech.), preferably in computer science or related fields.
• Minimum 2 years’ experience with complex data ecosystems focusing on data analysis.
• 1+ years’ experience with cloud-based infrastructure (AWS, Azure) and cloud database management (e.g., Redshift).
• Experience with Stored procedures for ETL automation.
• Fluency with SQL, data warehousing, data analysis, and cloud technologies.
• Experience with code versioning tools like Git and CI/CD setups, preferably Azure DevOps.
• Experience in Life Sciences.
• Experience leading technical discussions.

Responsibilities:

• Translate business requirements into technical requirements.
• Partner with SMEs to develop data queries and tools.
• Manage monthly data operations processes for multiple products.
• Contribute to DevOps platforms for code management.
• Take ownership of existing solutions and support enhancements.
• Build data ETLs for data management.
• Manage CI/CD pipelines for dashboards and datasets.
• Conduct risk-based code reviews for development solutions.
• Work with the Product Team on application enhancements.
• Interact with various stakeholders including end users and vendors.
• Automate data loading and validation tasks.