Senior Enterprise Data Engineer
TriNet Group, Inc. (company site, opens in a new tab)8+ yrsHyderabadOn-siteDirect career pageEst. 18–30 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Build, manage, and optimize data pipelines from development through production, and model and curate data lakes/warehouses for enterprise analytics consumers.
- Automate data preparation and integration; improve data management infrastructure using metadata management, MLOps, and infrastructure automation practices.
- Work with data science, business analysts, and IT to refine data requirements and operationalize analytics solutions across on-premises and cloud environments.
Minimum Requirements
- Work Experience Required: Typically 8+ years implementing Data & BI projects in large-scale enterprise data lake/warehouse environments, and 8+ years in ETL/ELT architecture and hands-on development using Informatica PowerCenter/IICS and AWS Glue.
- Hands-on experience with SFDC and PeopleSoft in Sales, Marketing, Finance, or Support domains.
- Hands-on Informatica components experience, database performance tuning (Oracle or Postgres), and strong SQL/PL/SQL skills; Unix Shell, Perl, and Python are also listed.
- Position is 100% in office; work location is Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Has delivered enterprise data warehouse, lake, BI, or MLOps work across the full SDLC, with advanced understanding of dimensional modeling, ODS, star/snowflake schemas, and normalized models.
- Can connect business-domain systems such as SFDC and PeopleSoft to reliable production data products, while improving repeatable integration and data consumption processes.
- Brings relevant cloud warehouse exposure (Snowflake or AWS Redshift) and experience coordinating with on-site/offshore service providers and IT teams.