Staff Enterprise Data Engineer
TriNet Group, Inc. (company site, opens in a new tab)8+ yrsHyderabadOn-siteDirect career pageEst. 20–40 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Build, manage, optimize, and productionize data pipelines for enterprise analytics and data science use cases.
- Automate data preparation and integration; improve data management infrastructure through monitoring, metadata management, sampling, caching, and MLOps/infrastructure automation.
- Partner with analysts, data scientists, business teams, and IT to refine data needs and curate data lake, warehouse, and other consumption-ready datasets.
Minimum Requirements
- Work Experience Required: Typically 8+ years implementing Data & BI projects in large-scale enterprise data lake/warehouse environments, including 8+ years in ETL/ELT architecture and hands-on job development.
- Required technical experience includes Informatica PowerCenter/IICS and AWS Glue; Informatica components, Python, and hands-on work with SFDC and PeopleSoft in Sales, Marketing, Finance, or Support domains.
- Hands-on database performance tuning and SQL/PL/SQL, ANSI SQL, Unix Shell, and Perl scripting; cloud data warehouse knowledge such as Snowflake or AWS Redshift is also required.
- Position is 100% in office; office location is Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Enterprise data engineer experienced in taking data integrations from development through production at scale.
- Strong fit for work spanning enterprise warehouse/data lake modeling, operational data management, and analytics or data science enablement.
- Comfortable coordinating delivery with business analysts, data science teams, IT, and on-site/offshore managed-service resources.