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About the role
Key responsibilities & impact- Design and build scalable, reusable, and governed data pipelines
- Evolve a transactional lakehouse using open table formats
- Ensure datasets are discoverable, trustworthy, and platform-agnostic
- Embed automated quality checks, data validation, and pipeline test coverage
- Champion CI/CD for data pipelines and infrastructure changes
- Mentor junior engineers and help define internal standards, frameworks, and best practices
Requirements
What you’ll need- Minimum 7 to 10 years of experience in Data Engineering
- Strong communication and stakeholder collaboration skills
- B.Tech /M/Tech Any Specialization
Benefits
Comp & perks- Enjoy your best years with our retirement savings plan
- Have peace of mind and body with our health insurance
- Make yourself a priority with flexible schedules, parental leave and our holiday purchase scheme
- Drive forward your career through professional development opportunities
- Achieve your personal goals with our Employee Assistance Programme.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data pipelinestransactional lakehousedata validationautomated quality checksCI/CDdata governanceopen table formatspipeline test coveragescalable designreusable design
Soft Skills
communicationstakeholder collaborationmentoringdefining standardsleadership
Certifications
B.TechM.Tech
