Data Engineer - Senior 5
SourceoPuneOn-siteDirect career pageEst. 12–22 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 scalable, automated data pipelines and distributed data platforms supporting analytics and AI use cases.
- Design and implement data governance, quality monitoring, and metadata management for enterprise data products, ensuring data is reliable, discoverable, and compliant.
- Collaborate with Product Managers, Data Scientists, and business stakeholders to deliver AI-ready datasets and data products following Data-as-a-Product principles in agile environments.
Minimum Requirements
- Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Analytics, or equivalent practical experience.
- Intermediate experience in data engineering including designing and optimizing enterprise data pipelines using cloud platforms, ETL/ELT tools, and SQL.
- Work Experience Required: Intermediate experience in relevant discipline; specific years not explicitly mentioned.
- Familiarity with big data technologies (e.g., Spark, Hive, Kafka), cloud-based data solutions, and agile methodology; ability to work on-site with flexibility.
Ideal Candidate Profile
- Experienced in building reusable, governed data products aligning with Data-as-a-Product frameworks to support advanced analytics and GenAI.
- Able to translate complex business requirements into scalable, maintainable technical data solutions with strong data quality and performance focus.
- Comfortable working cross-functionally within agile teams including Product, Data Science, and Engineering stakeholders to deliver measurable business outcomes.