Senior Informatica ETL Developer with strong Data Warehouse

Dallas, TX, US • Posted 2 hours ago • Updated 2 hours ago
Contract W2
Contract Corp To Corp
6 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Change Data Capture
  • SCD
  • Star Schema
  • Snow Flake Schema
  • Slowly Changing Dimensions
  • Informatica PowerCenter
  • Informatica
  • Data Warehouse

Summary

Senior Informatica ETL Developer with strong Data Warehouse experience

Hybrid role, 3 days in a week onsite

Job Locations: Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken, PA; Dallas, TX; Denver, CO; Fargo, ND; Garden City, NY; Houston, TX; Lenexa, KS; Lubbock, TX; Morristown, NJ; Mt Juliet, TN; New York, NY; Purchase, NY; Topeka, KS.

 

Notes:

We are preferring ETL - Source to target mapping, incremental push (or incremental load), informatica PowerCenter.

We are not looking for snowflake Technology; we are looking for data modelling concept snowflake/star schema.

Snowflake data experience is ok but not mandatory.

 

Job Summary:

We are looking for a Senior Informatica ETL Developer with strong experience in Data Warehousing concepts and ETL development. The candidate should have hands-on expertise in designing, developing, and optimizing ETL pipelines using Informatica PowerCenter / Informatica Intelligent Cloud Services, along with deep understanding of data models, CDC, SCD, and performance tuning.

 

Key Responsibilities/ Experience Required:

•Design and develop ETL pipelines to load data into Data Warehouse

•Work with multiple source systems (RDBMS, flat files, APIs) and integrate data into staging and DWH layers

•Build and maintain Fact and Dimension tables based on business requirements

•Implement Slowly Changing Dimensions (SCD Type 1, 2, 3) in ETL processes

•Handle Late Arriving Dimensions using industry best practices

•Implement Change Data Capture (CDC) mechanisms, including scenarios without timestamp columns

•Optimize long-running ETL sessions and improve performance using partitioning and tuning techniques

•Debug and optimize complex SQL queries and ETL workflows

•Work with clustered and non-clustered indexes, and understand row store vs column store

•Collaborate with business and analytics teams for data validation and reporting needs

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80127832
  • Position Id: 9126369
  • Posted 2 hours ago
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