Data Engineer - Senior 1
SourceoPuneOn-siteDirect career pageEst. 16–26 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and maintenance of data and analytics platform projects, focusing on scalable data pipelines and storage solutions.
- Implement data governance, monitoring, and troubleshooting for data quality and integrity issues across distributed and cloud platforms.
- Partner with cross-functional teams to deliver AI-ready datasets, reusable data assets, and support analytics and GenAI use cases across enterprise domains.
Minimum Requirements
- Bachelor’s degree in Computer Science, IT, Engineering, Data Analytics, or equivalent practical experience.
- Intermediate professional experience in data engineering including developing enterprise data pipelines and transformations using cloud data platforms and ETL/ELT tools.
- Strong skills in SQL, data modeling, data quality validation, and scalable data architecture supporting multiple consumer patterns.
- Work Experience Required: Intermediate experience in relevant discipline (data engineering). On-site location with some flexibility (not 100% on-site).
Ideal Candidate Profile
- Experienced in building scalable, governed, and discoverable data products using Data-as-a-Product principles aligned to enterprise use cases.
- Demonstrated ability to translate business/product requirements into technical solutions balancing quality, performance, and scalability.
- Comfortable working in Agile cross-functional teams collaborating with Product Managers, Data Scientists, Architects, and business stakeholders.