Data Engineer – Enterprise Data & AI
Marlabs (company site, opens in a new tab)5+ yrsBengaluruRemoteDirect career pageEst. 16–28 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable data pipelines and retrieval layers for structured and unstructured enterprise data to support AI and analytics.
- Integrate data across multiple enterprise platforms including ERP, Salesforce, SharePoint, Teams, Outlook, and Palantir Foundry.
- Implement data governance measures including data quality, metadata, lineage, security, and controlled access for trusted enterprise information.
Minimum Requirements
- Minimum 5 years of experience in Data Engineering for production data platforms and pipelines.
- Proficient in Python, SQL, and experienced with APIs; experience with Spark or Polars preferred.
- Experience integrating data from ERP, CRM, SaaS, collaboration, and operational systems.
- Knowledge of data modeling, data quality, metadata, lineage, security, and access control for enterprise data platforms.
Ideal Candidate Profile
- Experienced in building governed data foundations that power enterprise AI agents and intelligent applications.
- Skilled in integrating complex enterprise systems and managing both structured and unstructured data sources.
- Capable of collaborating across AI, application, data architecture, and business teams to deliver production-ready, secure data solutions.