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# Informatica ETL Developer

- **Company:** Tata Consultancy Services Limited
- **Location:** Charlotte, NC, United States
- **Experience:** Experienced
- **Salary:** $100,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, CA Workload Automation Ae, Databases, Data Cleansing, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Database Queries, Apache Hadoop, Hadoop Distributed File System, MapReduce, JSON, Job Scheduling, Oracle (Applications), Parsing, Performance Tuning, PL-SQL, SQL Databases, System Testing, Extensible Markup Language (XML), Data Processing, Data Storage Technologies, Informatica Powercenter, Information Technology, Bitbucket, Software Version Control
- **Published:** October 22, 2026
- **Apply:** https://www.careerbuilder.com/job-details/informatica-etl-developer-charlotte-nc--2d5d35de-44ef-4538-bfd0-aa334c11531d

## About the Role

Informatica, Database Extract Transform and Load (ETL), Technical Leadership, Computer Science, Informatica, Oracle, Apache Hadoop, Database Extract Transform and Load (ETL), Process Development, Agile Programming Methodologies, Required Skills: Hadoop | Informatica | Oracle

Qualification: BACHELOR OF COMPUTER SCIENCE

Experience: 10 - 15 Years, Primary Skill: Informatica IDMC Developer

Secondary: Oracle, Hadoop

Experience: Minimum 10 years

Roles & Responsibilities

 * Bachelor's or master's degree in computer science or related field.
 * Minimum 2 years experience in IDMC migration projects.
 * ETL Process Development: Design, develop, and maintain ETL processes using Informatica PowerCenter or other relevant Informatica tools.
 * Experience in Agile Methodology
 * Experience with code versioning tools like Bit-Bucket
 * SQL Proficiency: Utilize SQL/PLSQL to extract, transform, and load data.
 * Exposure to advanced transformations like data transformations, Parsing JSON/XML messages
 * Experience in Job scheduling tools Like Autosys
 * Experience with HDFS, MapReduce, and Hadoop ecosystems.
 * Understanding data storage and data processing techniques in Hadoop
 * Data Integration: Integrate data from various sources, ensuring data consistency and quality.

## Description

* Data Warehouse Design: Design and maintain data warehouses to support business intelligence activities.
 * Performance Optimization: Optimize SQL script/queries for speed and efficiency.
 * Troubleshooting: Identify and resolve issues in ETL processes.
 * Documentation: Create and maintain technical documentation for ETL processes.
 * Testing: Perform unit, integration, and system testing on ETL processes.
 * Collaboration: Collaborate with cross-functional teams to ensure successful implementation of ETL processes.
 * Data Quality: Ensure data quality by implementing data cleansing and transformation processes.
 * Data Modeling: Develop and maintain relational and dimensional data models.