TELECOMMUTE Data Warehouse / ETL Developer

Omega, Inc.
United States
23 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Unit Testing Code Review Data Validation Data Governance Data Integration Extract Transform Load (ETL) Data Warehousing Database Queries Dimensional Modeling Microsoft SQL Server Oracle (Applications) Performance Tuning
+6 more
SAP (Applications) PL-SQL SQL Databases Informatica Powercenter Information Technology Software Version Control

Job description

Design, develop, and deploy ETL mappings, workflows, and sessions using Informatica PowerCenter. Extract data from heterogeneous source systems (e.g., Oracle, SQL Server, flat files, SAP) and load into target data warehouse environments. Collaborate with business analysts and data architects to understand data requirements and translate them into efficient ETL solutions. Optimize ETL processes for performance, scalability, and maintainability. Conduct data validation, reconciliation, and troubleshooting to ensure data quality and integrity. Maintain ETL documentation, including data flow diagrams, technical specifications, and process design documents. Participate in code reviews, unit testing, and UAT support. Monitor ETL jobs and workflows, identify bottlenecks, and implement improvements. Provide production support and resolve data-related issues in a timely manner.

Requirements

We are seeking a skilled Data Warehouse / ETL Developer with expertise in Informatica PowerCenter to design, develop, and maintain enterprise-level ETL solutions. The ideal candidate will have hands-on experience in data warehousing concepts, ETL processes, and strong problem-solving skills to ensure high-quality, timely, and accurate data integration., Bachelor s degree in Computer Science, Information Technology, or a related field. 8-10+ years of experience in ETL development using Informatica PowerCenter.

Strong understanding of data warehousing concepts, dimensional modeling, and star/snowflake schemas. Experience with SQL, PL/SQL, and performance tuning of database queries. Knowledge of data quality, data governance, and best practices in ETL development. Strong analytical, problem-solving, and communication skills. Experience with version control systems and ETL deployment processes.

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