15 days old

Lead Automation Engineer

Seattle, WA 98104
  • Job Code
  • Payrate
    $60 To $80
job summary:

Our global client is looking for a Lead Automation Engineer for Data. This individual will support the ongoing development and maintenance of their Enterprise Consumer Data Platform. They will be making valuable contributions to the continuous transformation and improvement of data platforms.

Through your efforts, you'll be making valuable contributions to the continuous transformation and improvement of their data platforms. You will work with the rest of the Data Platforms team to support and test throughout the entire data development lifecycle. You will also work with our project teams and business users to understand business requirements to develop effective test plans. We're looking for someone who has experience testing data warehouse systems and data marts, is team oriented, and quality-focused.

location: Seattle, Washington
job type: Contract
salary: $60 - 80 per hour
work hours: 9 to 5
education: No Degree Required

Core responsibilities:

- Validate source to target mappings using a variety of tools, including Tableau.

- Design and develop test strategies and test plans to validate our data integration processes and creation of appropriate test harnesses. Document results against those plans/test scripts.

- Conduct thorough testing of ETL code changes to ensure quality of data produced & perform appropriate root cause analysis

- Conduct testing across all layers of data platform (data lake, database, consumption layer).

- Conduct testing in accordance with established process/framework for QE and Data Governance to ensure thorough, consistent, & repeatable testing practices.

- Conduct various types of testing including Unit testing, Functional testing, Integration testing, Regression testing, Performance testing, post production testing.

- Coach engineering team on best practices and adherence to established QE framework.

- `Strive to increase efficiency in testing including automating QE tasks where possible.

- Use professional software engineering practices & best practices, including coding standards, code reviews, source control management, build processes, testing, and operations.

- Implement Data quality and accuracy metrics and measurement


Required Qualifications:

- 7+ years of professional work experience working with and testing very large databases

- 5+ years hands-on experience with SQL

- 1+ years of experience in scripting languages such as Python

- Cloud solution implementation experience with AWS preferred

- Proven experience in/with data warehouse testing

- Experience working with relational and dimensional data models

- Experience implementing best-in-class testing processes, test tools and best practices for databases

- Experience with ETL tools like Informatica, talend.

- Experience working in a CI/CD framework

- Experience delivering in a team environment using Agile framework (SAFe preferred)

- Ability to utilize computational skills to identify and fix data quality and integration issues

- Excellent communication, organization, collaboration, reporting, analytical and problem-solving skills.

- Experience with Big data processing techniques

skills: Python or Java (Python preferred). SQL. Any Data pipelines, informatica, data wharehousing skills, data models. Simliar to the data engineer yet this person will be doing the testing of those pipelines. Automation using CICD framework. Agile/Safe background preferred. Cloud solution implementation experience with AWS preferred (Not required)

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.


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