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# Informatica/Snowflake Data Engineer

- **Company:** Resourcesoft, Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Query Performance, Application Programming Interfaces (APIs), CA Workload Automation Ae, Data Integration, Extract Transform Load (ETL), Data Mapping, Relational Databases, Job Scheduling, Mainframes, Oracle (Applications), Oracle SQL Developer, Systems Development Life Cycle, SQL Stored Procedures, PL-SQL, Data Streaming, Informatica Powercenter, Snowflake, Informatica Cloud, Star Schema, Enterprise Integration, Control M
- **Published:** September 15, 2026
- **Apply:** https://www.dice.com/job-detail/855263eb-ac1a-448d-a916-e470faebc192

## About the Role

* 8 or more years of experience as a Data Engineer/ETL developer designing, developing, and supporting enterprise data integration solutions.
 * Proficiency in Informatica PowerCenter, including mappings, sessions, workflows, and reusable transformations.
 * Experience with Oracle SQL/PL-SQL, including stored procedures, packages, and ETL query performance tuning.
 * Experience with Snowflake, including data loading, schema design, and query performance optimization.
 * Experience with Informatica Cloud Data Integration for cloud-based ETL/ELT development and source-to-target mapping.
 * Excellent analytical and communication skills, with experience collaborating across structured SDLC environments and business/technical stakeholders.

## Description

* Design, develop, and maintain ETL workflows using Informatica PowerCenter, including mappings, sessions, and transformations.
 * Ingest data from diverse source systems (flat files, APIs, relational databases, mainframe extracts) into Oracle and Snowflake environments.
 * Perform source-to-target mapping, data requirements gathering, and documentation of data flow and design specifications.
 * Troubleshoot and resolve data quality issues, job failures, and performance bottlenecks in production ETL pipelines.
 * Optimize Oracle SQL/PL-SQL queries and Snowflake schemas for performance and scalability.
 * Coordinate batch data loads using job scheduling/orchestration tools such as Control-M, Autosys, or Informatica scheduler.


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