QA Lead - ETL

Phaxis

Chicago (IL)

On-site

USD 130,000 - 140,000

Full time

14 days+

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Job summary

A leading technology firm in Chicago is seeking an experienced QA Lead to develop and execute data-driven QA strategies. The ideal candidate must have over 8 years in ETL and Data Warehouse experience, strong SQL skills, and the ability to integrate testing within a CI/CD pipeline. This full-time role offers competitive compensation and growth opportunities in the Information Technology and Quality Assurance sectors.

Qualifications

  • 8+ years of ETL/Data Warehouse experience.
  • 6+ years in Data Quality Assurance or Regulatory Projects.
  • Strong SQL and PL/SQL skills.

Responsibilities

  • Act as a QA Lead.
  • Develop and execute QA strategies with SQL and Python.
  • Integrate test case execution within the CI/CD pipeline.

Skills

ETL/Data Warehouse/Big data
Data Quality Assurance
Regulatory Projects
SQL
Python
Agile/SCRUM

Tools

Oracle
PostgreSQL
Kafka
QlikSaas
Tableau

Job description

Be among the first 25 applicants

This range is provided by Phaxis. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$130,000.00/yr - $140,000.00/yr

  • Act as a QA Lead
  • Develop and execute data-driven QA strategies, leveraging SQL, Python, or other tools to test and monitor large datasets.
  • Integrate test case execution and reporting within the CI/CD pipeline to align with the DevOps strategy, criteria, requirements, and user stories
  • Work in the SDET capacity to automate early in conjunction with other engineer's efforts to build systems.
Requirements
  • 8+ years of ETL / Data Warehouse/ Big data/ Data Platform experience.
  • 6+ years of progressive experience in Data Quality Assurance, Data Governance, or Regulatory Projects
  • Strong hands-on experience in database technologies preferably Oracle and PostgreSQL. Experience in writing complex SQL and PL/SQL scripts for querying data.
  • Experience with ETL Processes (Data Warehouse) and BI tools (QlikSaas, Tableau etc.,).
  • Experience creating reusable code/scripts for Automated Framework using Python (Pandas, Numpy, Requests, Boto3)
  • Strong hands-on experience with Kafka Data streams, APIs, webservices and Microservices.
  • Experience with processes and deliverables in an Agile/SCRUM environment
Seniority level

Not Applicable

Employment type

Full-time

Job function

Information Technology and Quality Assurance

Industries: Capital Markets and Financial Services

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