Enterprise Data Integration Engineer (ETL/SQL)

Concept Plus

United States

Remote

USD 85,000 - 110,000

Full time

6 days ago
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Job summary

Concept Plus in Fairfax, VA seeks a Data Warehouse/Integration Engineer to help design, develop, and maintain our enterprise data warehouse and related system integrations. The ideal candidate brings hands-on experience with Informatica PowerCenter, SQL, and data integration in enterprise environments, and can contribute to ongoing warehouse operations, performance tuning, and data quality improvements.

Collaboration with cross-functional teams and adherence to best practices are expected.

Qualifications

  • B.S. in Computer Science or related field or equivalent experience.
  • 2+ years of SQL and relational data modeling.
  • 2+ years of data integration/ETL/EDW experience in enterprise environments.
  • Strong analytical and problem-solving abilities.
  • Familiarity with Windows and/or Perl scripting.
  • Strong written and verbal communication skills.

Responsibilities

  • Support design, development, and maintenance of Informatica PowerCenter mappings, sessions, and workflows.
  • Assist with building and supporting cross-system interfaces and data conversions.
  • Create and maintain data mapping, operations, and maintenance documentation.
  • Monitor system performance and help tune Informatica workflows, SQL queries, and DB processes.
  • Contribute to reliability and day-to-day support of enterprise data warehouse integrations.

Skills

Analytical skills
Problem-solving
Written & verbal communication

Education

B.S. in Computer Science or related field

Tools

Informatica PowerCenter
Informatica Data Management Cloud
SQL

Job description

Concept Plus in Fairfax, VA seeks a Data Warehouse/Integration Engineer to help design, develop, and maintain our enterprise data warehouse and related system integrations. The ideal candidate brings hands-on experience with Informatica PowerCenter, SQL, and data integration in enterprise environments, and can contribute to ongoing warehouse operations, performance tuning, and data quality improvements.

Collaboration with cross-functional teams and adherence to best practices are expected.

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