Staff Enterprise Data Engineer
TriNet Group, Inc. (company site, opens in a new tab)8+ yrsHyderabadOn-siteDirect career pageEst. 22–35 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Own data pipelines from development through production, delivering curated data for analysts, data scientists, and enterprise business use cases.
- Automate data preparation and integration; improve data management infrastructure, metadata management, MLOps, and pipeline monitoring.
- Build and curate data lake, warehouse, and other consumption models, working with business and data science teams to refine requirements.
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 development.
- Hands-on experience with Informatica PowerCenter components and ETL/ELT tools including Informatica Cloud (IICS) and AWS Glue; Python, SQL/PL-SQL, Unix Shell, and Perl scripting are specified.
- Experience with SFDC and PeopleSoft in Sales, Marketing, Finance, or Support domains; knowledge of Snowflake or AWS Redshift and database performance tuning for Oracle or Postgres is also required.
- Work arrangement: 100% in office. Work location: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Has built and operated enterprise-scale data platforms, with strong hands-on ETL/ELT delivery and production pipeline experience.
- Can translate analyst and data science consumption needs into curated warehouse or lake data, while improving automation, monitoring, and data management practices.
- Has experience coordinating delivery across business, IT, and on-site/offshore service-provider teams.