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Target Etl Jobs in Wisconsin (NOW HIRING)

Ansell

$126K/yr

You will work closely with Data Engineers and business stakeholders to ensure the highest quality of data pipelines, ETL processes, and analytics deliverables. Key Responsibilities * Design Solutions:

Florimond Desprez

WI · On-site

$90 - $120/hr

Data integration and ETL * Developing and maintaining Extract, Transform, Load (ETL) processes for integration data from sources like flat files, databases and APIs. * Getting familiar with tools ...

New

ULINE

Senior Data Engineer

Kenosha, WI · On-site

$96K - $148K/yr

  • Medical

  • Retirement

  • PTO

Perform unit, performance and regression testing on ETL mappings. * Follow coding standards, review code and enhance quality practices. * Oversee production deployments and coordinate with other ...

ULINE

Senior Data Engineer

Pleasant Prairie, WI

$96K - $148K/yr

  • Medical

  • Retirement

  • PTO

Perform unit, performance and regression testing on ETL mappings. * Follow coding standards, review code and enhance quality practices. * Oversee production deployments and coordinate with other ...

United Beet Seeds BV

WI · On-site

$70.64 - $94.18/hr

Ensuring high availability and scalability of data pipelines to meet evolving business requirements Data integration and ETL * Developing and maintaining Extract, Transform, Load (ETL) processes for ...

New

Princeton IT Services

SAP SME Consultant

Neenah, WI · On-site

$63.75 - $86.75/hr

Source-to-target lineage * Ensure specifications are clear enough for data engineers to develop accurate and scalable data lake ETL pipelines. * Perform deep-dive analysis of SAP customizations ...

ULINE

Senior Data Engineer

Kenosha, WI

$96K - $148K/yr

  • Medical

  • Retirement

  • PTO

Perform unit, performance and regression testing on ETL mappings. * Follow coding standards, review code and enhance quality practices. * Oversee production deployments and coordinate with other ...

Generac

Senior Platform & Analytics Analyst

Waukesha, WI · On-site

$86K - $108K/yr

They manage analytics platforms like Power BI, and Databricks, ensuring data integrity, scalability, security, and effective ETL processes. * Collaboration with cross-functional teams in ...

Sonsoft Inc

Informatica Consultant

Milwaukee, WI

$52.50 - $69/hr

In data warehousing projects using Informatica ETL tool * Should have expertise in extracting data ... Analyze and interpret all complex data & business rules on all target * systems and analyze and ...

C1400 Stewart Title Guaranty Company - United States

WI · On-site

$90 - $130/hr

  • Medical

  • Retirement

  • PTO

Designs and supports ETL processes, data pipelines, and data transformation workflows to ensure reliable and timely data availability. * Impacts achievements of customer, operational, project or ...

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QA Lead Engineer

Ansell

On-site

$126K/yr

Full-time

Re-posted 17 hours ago

Job description

Ansell is a leading global provider of protection solutions. Our company designs, develops and manufactures a wide range of protection solutions that meet the ever-changing needs and demands of our markets and industries. Protection is our primary concern as millions of people around the world depend on Ansell in their professional and personal lives.
Our vision is to create a world where people can enjoy optimal protection against the risk they are exposed to. Whether at work or during their leisure time, people require the right protection for the right application. After all, what better guarantee is there than increased safety, security and productivity than through adequate protection.

Role Overview

We are looking for a QA Lead Engineer who can provide both technical leadership and hands-on programming expertise to drive the testing strategy and quality assurance for our data and analytics initiatives. This role is ideal for someone who thrives in a dual capacity - designing processes and actively developing, implementing, and optimizing testing frameworks, tools, and automation scripts. You will work closely with Data Engineers and business stakeholders to ensure the highest quality of data pipelines, ETL processes, and analytics deliverables.

Key Responsibilities

  • Design Solutions: Act as the QA Lead Engineer designing and optimizing testing processes for data and analytics functions.
  • Hands-On Development: Code, and maintain automated test scripts, frameworks, and utilities in Python, PySpark, and Spark SQL to validate data pipelines and transformations.
  • Support Data Engineering: Actively assist the data engineering team during peak periods by contributing to data transformation tasks and ensuring smooth execution of data pipelines.
  • Testing Strategy Ownership: Take ownership of the testing strategy, driving the design, execution, and reporting of test cases using various testing frameworks and tools for new development requirements or bug fixes.
  • Framework Implementation: Lead and actively develop/customize testing frameworks and methodologies to meet business objectives and testing requirements.
  • Technical Leadership: Provide end-to-end technical leadership for implementing testing processes, while maintaining and enhancing existing test frameworks and applications.
  • Best Practices: Implement and promote best practices in test automation, manual testing, performance testing, and integration testing to ensure consistency and quality across all testing activities.
  • Test Optimization: Write efficient, maintainable, and scalable test scripts that maximize testing coverage, accuracy, and issue detection.
  • Documentation: Create and maintain detailed documentation for testing processes, test cases, and results for future reference and training.
  • Stakeholder Collaboration: Work closely with business users and key stakeholders to understand testing needs and recommend solutions aligned with business goals.
  • Data Validation: Partner with Data Engineers to validate data pipelines, ETL processes, and data integrity during testing phases.
  • Reporting: Build simple Power BI reports and dashboards to track and visualize test results and quality metrics.

Technical Skills & Qualifications

  • Hands-on expertise in Python for test automation, scripting, and data validation.
  • Strong skills in PySpark and Spark SQL for validating and testing large-scale data transformations.
  • Experience with Azure Data Factory to orchestrate and validate ETL workflows.
  • Proficiency in Azure Databricks for data processing and distributed testing of data pipelines.
  • Ability to create simple Power BI reports for test result visualization or reporting.
  • Proven experience implementing, customizing, and maintaining testing frameworks in data and analytics environments.
  • Deep understanding of test automation, performance testing, integration testing, and QA best practices for data-centric systems.
  • Excellent communication, and stakeholder

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