Data Engineer - Senior 4
SourceoPuneOn-siteDirect career pageEst. 18–28 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 distributed and cloud-based enterprise data pipelines and analytics platforms.
- Design, build, and optimize reusable, scalable, governed data products supporting analytics, APIs, AI/ML, and GenAI use cases across multiple enterprise domains.
- Collaborate cross-functionally with Product Managers, Data Scientists, and business stakeholders to deliver AI-ready datasets and advanced analytical solutions.
Minimum Requirements
- Bachelor’s degree in Computer Science, IT, Engineering, Data Analytics or equivalent practical experience.
- Intermediate work experience in relevant data engineering disciplines; familiarity with big data tools like Spark, Scala/Java, Hive, Kafka, and cloud data platforms.
- Proven hands-on experience with ETL/ELT, SQL development, data modeling, data quality validation, and scalable data architectures.
- Experience working in Agile cross-functional teams with strong collaboration among Product Managers and Data Scientists.
Ideal Candidate Profile
- Experienced in building and operating large-scale, cloud-based data platforms with strong focus on data-as-a-product principles including metadata, lineage, and governance.
- Skilled in translating business requirements into reusable and scalable technical data solutions balancing quality and performance.
- Familiar with AI/ML and emerging technologies such as GenAI, vector databases, semantic search, and AI-ready data engineering practices.