Informatica

About the job

Join a collaborative data engineering team where your work directly improves how business-critical data is moved, transformed, and trusted across the organization. In this role, you’ll help build and enhance reliable ETL solutions using Informatica, partnering closely with stakeholders to understand data needs and translate them into scalable integrations. You’ll contribute to end-to-end delivery—design, development, testing, deployment, and support—while continuously improving performance, stability, and data quality. If you enjoy solving data challenges, working with cross-functional teams, and taking ownership of deliverables in a supportive environment, this opportunity will help you grow your technical depth and broaden your impact across enterprise data platforms.

Responsibilities

Key Responsibilities

• Design, develop, and maintain ETL workflows using Informatica and Informatica PowerCenter for enterprise data integration needs. • Analyze source-to-target mappings and implement transformations to ensure accurate, consistent, and timely data loads. • Build and optimize mappings, mapplets, sessions, and workflows; tune performance for high-volume data processing. • Implement robust error handling, logging, restartability, and monitoring to improve operational reliability. • Collaborate with business analysts, data teams, and application owners to gather requirements and clarify data rules. • Perform unit testing, support SIT/UAT cycles, and resolve defects with strong root-cause analysis. • Prepare technical documentation including ETL design specs, workflow details, and operational runbooks. • Support production deployments, troubleshoot job failures, and ensure adherence to release and change management processes.

Minimum Qualifications

• Bachelor’s or Master’s degree in BTECH, MTECH, MCA, MSC or a related field. • 3–5 years of hands-on experience in building ETL solutions using Informatica. • Strong working experience with Informatica PowerCenter development (mappings, workflows, sessions). • Ability to interpret data requirements and translate them into implementable ETL designs. • Experience in testing, debugging, and supporting ETL processes in development and production environmen

Requirements

Good to have skills: SQL, Unix/Linux Shell Scripting, Data Warehousing Concepts, Performance Tuning, ETL Monitoring & Scheduling

Additional:

Preferred Qualifications

• Experience with ETL performance tuning, including optimizing transformations, session properties, and workflow orchestration. • Familiarity with data quality checks, reconciliation techniques, and ensuring end-to-end data validation. • Exposure to scheduling/monitoring practices and operational support for batch ETL pipelines. • Strong documentation practices and ability to communicate technical details clearly to cross-functional teams. • Proven ability to manage multiple deliverables, prioritize effectively, and contribute to continuous improvement of ETL standards.