Python AWS Data Warehousing Informatica Talend Experience CICD SAFe Data Processing   Requirement id 85838 Job title Engineer Job location in Seattle, WA Skills required Python, SQL, AWS, Data Warehousing Informatica Talend Expe Open Date 28-Nov-2018 Close Date Job type Contract to Hire Duration 12 Months Compensation DOE Status requirement --- Job interview type ---    Email Recruiter: coolsoft Job Description Engineer: Python, SQL, AWS, Data Warehousing Informatica Talend Expe Candidate must be our own W2 Employee Job Description : Description/Comment: Data will support the ongoing development and maintenance of our enterprise Consumer Data Platform. Through your efforts, youll be making valuable contributions to the continuous transformation and improvement of our data platforms. You will work with the rest of the Data platforms team to support and test throughout the entire data development life cycle. You will also work with our project teams and business users to understand business requirements to develop effective test plans. Were looking for someone who has experience testing data warehouse systems and data marts, is team oriented, and quality-focused. 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 Basic 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. Preferred Qualifications: Experience with Big data processing techniques Additional Information: The Quality Engineer for Data will support the ongoing development and maintenance of our enterprise Consumer Data Platform. They will be making valuable contributions to the continuous transformation and improvement of our data platforms. 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.   Call 502-379-4456 Ext 100 for more details. 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