Data Engineer - Senior 2
SourceoPuneOn-siteDirect career pageEst. 16–28 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 analytics platforms supporting multiple product teams and domains such as Supply Chain, Finance, and Quality.
- Drive implementation of Data-as-a-Product principles by creating governed, documented, and reusable data assets with monitoring and alerting for performance and quality.
- Collaborate cross-functionally with Product Managers, Data Scientists, and business stakeholders to deliver AI-ready datasets, support advanced analytics, and enable GenAI use cases.
Minimum Requirements
- Bachelor’s degree in Computer Science, IT, Engineering, Data Analytics, or equivalent practical experience.
- Intermediate experience in data engineering including development and support of enterprise data pipelines and integration solutions using cloud data platforms and ETL/ELT tools.
- Proficiency in SQL development, data modeling, performance optimization, and scalable data architecture.
- Work Experience Required: Intermediate experience in relevant discipline area (exact years not specified).
Ideal Candidate Profile
- Experienced with large-scale data platforms and big data technologies such as Spark, Scala/Java, Map-Reduce, Hive, Kafka, and cloud-based clustered compute environments.
- Familiarity with Data-as-a-Product operating models including metadata management, data cataloging, lineage, and governance.
- Comfortable working Agile environments collaborating closely with cross-functional teams to translate business needs into robust, maintainable data solutions.