Data Engineer 2
Sourceo3–6 yrsPuneOn-siteDirect career pageEst. 8–16 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain enterprise data pipelines and curated datasets supporting analytics, automation, and GenAI across multiple enterprise domains.
- Ensure data products follow Data-as-a-Product principles with metadata, lineage, quality controls, and governance for consistent self-service use.
- Collaborate with cross-functional teams (Product Managers, Data Engineers, Data Scientists) to deliver AI-ready, optimized data assets for advanced analytics and machine learning.
Minimum Requirements
- 3 to 6 years of relevant data engineering experience.
- Bachelor's degree in Computer Science, IT, Engineering, Data Analytics or equivalent practical experience.
- Experience with ETL/ELT, data integration, SQL, data modeling, metadata management, and enterprise-scale data governance.
- Experience working in Agile, cross-functional teams collaborating with product, engineering, and business stakeholders.
Ideal Candidate Profile
- Experienced in developing scalable data solutions with strong emphasis on Data-as-a-Product operating models including data catalogs and lineage.
- Familiar with modern big data and cloud technologies like Spark, Kafka, Hive, and cloud-based data processing platforms.
- Comfortable translating complex business/product needs into efficient, maintainable technical data architectures optimized for AI/ML and GenAI use cases.