Data Engineer 1
SourceoPuneOn-siteDirect career pageEst. 4–10 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain enterprise data products by building scalable data pipelines, transformations, and curated datasets to support analytics, automation, and GenAI use cases across multiple business domains.
- Implement Data-as-a-Product principles to ensure data assets are reusable, discoverable, governed with metadata, lineage, and quality controls for consistent self-service consumption.
- Collaborate with cross-functional teams including Product Managers, Data Engineers, and Data Scientists to deliver AI-ready data products optimized for analytics and machine learning.
Minimum Requirements
- Experience developing and supporting ETL/ELT data pipelines and transformations on modern data platforms and cloud environments.
- Working knowledge of data modeling, SQL, data quality, metadata management, and enterprise data governance principles.
- Bachelor's degree in Computer Science, IT, Engineering, Data Analytics, or equivalent practical experience.
- Work Experience Required: Relevant experience preferred including internships or co-op; professional work experience not explicitly quantified in the JD.
Ideal Candidate Profile
- Experienced in operationalizing Data-as-a-Product models with familiarity in data catalogs, lineage, and quality frameworks.
- Comfortable translating complex business requirements into scalable, maintainable technical solutions within agile, cross-functional team settings.
- Has exposure to AI, machine learning, or GenAI initiatives with skills in preparing AI-ready datasets and semantic models supporting intelligent business applications.