WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Informatica Data Engineer

IDR, Inc.
United States
8 days ago

Role details

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

Tech stack

Big Data Information Engineering Extract Transform Load (ETL) Data Mapping Data Profiling Data Systems Dimensional Modeling Github Systems Development Life Cycle SQL Stored Procedures SQL Databases Teradata SQL
+6 more
Transact-SQL Enterprise Data Management Sql Optimization Informatica Powercenter Star Schema Data Pipelines

Job description

Contract to Perm opening for a Senior Data Engineer to design, develop, and optimize enterprise ETL solutions supporting large-scale data warehouse and analytics initiatives. This role is ideal for someone with deep experience in Informatica PowerCenter, Informatica IDMC/IICS, Teradata, and SQL who enjoys building scalable data pipelines and improving data quality.

Requirements

  • 7+ years of Data Engineering / ETL development experience
  • Strong experience with Informatica PowerCenter and Informatica IDMC/IICS
  • Hands-on experience with Teradata
  • Advanced SQL/T-SQL and stored procedures
  • Enterprise Data Warehousing, ETL/ELT, Star Schema & dimensional modeling
  • Experience with GitHub, SDLC, data profiling, and source-to-target mapping, If you’re passionate about enterprise data integration, modernizing ETL processes, and delivering high-quality data solutions, we’d love to hear from you!

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

6:36 min

Funding open source through GitHub Accelerator and Sponsors

Stormy Peters · WWC 2023

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · WWC Europe 2026

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

2:40 min

Using GitHub primitives for internal documentation and corporate operations

Kyle Daigle · Coffee With Developers

Videos

See all
Alibaba Big Data and Machine Learning Technology thumbnail
43:57
LIVE • almost 6 years ago

Alibaba Big Data and Machine Learning Technology

Qiyang Duan

Modern Data Architectures need Software Engineering thumbnail
29:25
WWC 2024 • almost 2 years ago

Modern Data Architectures need Software Engineering

Matthias Niehoff

Innovating Developer Tools with AI: Insights from GitHub Next thumbnail
42:38
LIVE • over 1 year ago

Innovating Developer Tools with AI: Insights from GitHub Next

Krzystof Czieslak

PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

Enjoying SQL data pipelines with dbt thumbnail
26:53
WWC 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models thumbnail
27:07
WWC 2025 • 12 months ago

Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models

Kevin Lewis, Sandra Ahlgrimm

Related articles

See all