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ETL Developer / Data Warehouse Architect - 26-02123

NavitasPartners
locationYonkers, NY, USA
PublishedPublished: 6/14/2022
Technology
Full Time

Job Description

Job DescriptionETL Developer / Data Warehouse Architect

Location: Remote (Must work EST hours)
Onsite Requirement: Albany, NY – Minimum one week per year
Duration: 1 Year (Possible extension up to 5 years)
Schedule: 40 hours/week | Monday–Friday | 8:00 AM – 5:00 PM ET

Role Overview

Seeking a highly skilled ETL Developer / Data Warehouse Architect to support the design, modernization, and expansion of a secure enterprise data analytics environment.

This role combines hands-on ETL development with data architecture responsibilities, supporting audit analytics, fraud detection initiatives, business intelligence reporting, and secure inter-agency data exchanges within a government environment.

The ideal candidate will have advanced SQL expertise, strong dimensional modeling experience, and deep knowledge of enterprise ETL environments.

Core ResponsibilitiesData Architecture & Warehouse Development

  • Review and modernize existing ETL processes and ingestion pipelines

  • Architect scalable enterprise data warehouse frameworks

  • Design systems to ingest structured and unstructured datasets

  • Implement and migrate ETL environments including fact and dimensional models

  • Develop dimensional models aligned with user story requirements

  • Build enterprise data models supporting audit analytics and fraud detection

  • Optimize warehouse performance for reporting and analytics use cases

ETL & Data Integration

  • Develop and maintain ETL processes integrating:

    • Flat files

    • Direct database connections

    • XML transactions

    • External data feeds

  • Implement ETL pipelines using tools such as Qlik, Informatica, or equivalent

  • Perform SQL and PL/SQL development for complex transformations

  • Support ingestion of new and acquired datasets

  • Maintain secure data interchange systems

  • Ensure secure transfer and validation of inter-agency data exchanges

Business Intelligence & Reporting Enablement

  • Support Tableau and Oracle Business Intelligence (OBIEE) dashboard development

  • Design ETL processes optimized for Tableau reporting environments

  • Assist with Tableau Server administration (preferred)

  • Translate business user stories into analytics-ready datasets

  • Ensure BI performance, data accuracy, and reporting integrity

Data Validation & Analytics Support

  • Partner with auditors and analytics teams to validate datasets

  • Troubleshoot transformation issues and data discrepancies

  • Support data quality initiatives

  • Apply statistical techniques to support fraud detection and performance analytics

  • Develop analytics-ready datasets

Infrastructure & Security Alignment

  • Assist in building secure data analytics infrastructure

  • Support ETL environment migration

  • Align pipelines with governance and security standards

  • Ensure compliance with audit and fraud prevention protocols

Minimum Qualifications (Required)

  • Bachelor’s degree in Computer Science or related IT field
    (Master’s or Doctorate preferred but not required)

  • 4+ years developing and maintaining data interchange systems integrating:

    • Flat files

    • Direct database connections

    • XML transactions

  • 4+ years experience with ETL tools (Qlik, Informatica, or equivalent)

  • 4+ years of data modeling experience (dimensional modeling, star schemas, fact tables)

  • 4+ years building ETL environments supporting analytics

  • 4+ years of advanced SQL development

Preferred Qualifications

  • Python scripting experience

  • Tableau Server administration

  • Experience gathering business requirements and validating data

  • Formal statistics coursework or applied statistical experience

  • PL/SQL development experience

  • Experience building ETL environments optimized for Tableau

  • Government data analytics experience

  • Experience supporting audit or fraud analytics initiatives

  • Experience with secure data governance and compliance environments

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