Company Name: VARITE India Private Limited
About The Client:
Client is a pioneering Software Engineering and IT consultancy company, transforming and executing at the intersection of Domain and Technology to create digital leaders for our people, clients, partners, and communities.
Essential Job Functions:
- Using Azure cloud services and GSK data platform tools to ingest, egress, and transform data from multiple sources.
- Confidently optimizes the design and execution of complex solutions in data ingestion and data transformation using established patterns or improving those patterns.
- Produces well-engineered software, including appropriate automated test suites, technical documentation, and operational strategy.
- Provides input into the roadmaps, e.g., to Data Platforms and other Data Engineering Teams, to help improve the overall program of work.
- Ensure consistent application of platform capabilities to ensure quality and consistency concerning logging and lineage.
- Fully versed in coding best practices and ways of working,
and participates in code reviews and partnering to implement established standards in the team and to improve those standards if needed.
- Adhere to QMS framework, Security & Regulatory Standards, and CI/CD best practices, and helps to guide improvements to them that improve ways of working.
- Provide leadership to team members to help others get the job done right.
- Supporting engineering teams in the adoption and creation of Data Mesh best practices.
- Maintains best practices for engineering and architecture on our Confluence site.
- Pro-actively engages in experimentation and innovation to drive relentless improvement.
- Provides leadership and technical input to architecture and engineering teams composed of GSK FTEs, strategic partners, and software vendors.
Qualifications:
- BS in Computer Science, Software Engineering, biomedical engineering, engineering, or bioinformatics/computational biology, with 4+ years of experience
📌 POD Lead_QE&L Data Engineering (India)
🏢 VARITE
📍 India