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As a Data Engineer ( ETL Specialist) , you will deliver scalable, performant ETL processes in multi-tenant cloud infrastructures that produce measurably high quality data sets.
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Experience with data integration tools (e.g., Informatica, Talend, Alteryx, SSIS etc) to carry out an ETL (Extract, Transform & Load) to move data from disparate systems to Master Data Management Hub.
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As a Senior QA Automation Engineer, you will perform Quality Assurance and Automation testing for data warehouse implementations, ensuring data accuracy, completeness, and adherence to quality standards.
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Experience with data as a product and business intelligence concepts, such as data governance, data quality, data lineage, data catalog, data visualization, and data storytelling.
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Working knowledge of data integration tools and frameworks, such as ETL, ELT, API, or streaming. Conduct quality control and record-keeping procedures to ensure the highest levels of data integrity and keep team members accountable to meet expectations.
$101,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will also collaborate with business stakeholders, product owners, data engineers, and data analysts to understand data requirements, define data models, ensure data quality and consistency, and take ownership of the effective use of analytics and intelligence data by business professionals and stakeholders.
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Experience in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Azure Data Factory, Glue ETL, Lambda, Spark, Spark Streaming, etc. Test programming using automated testing frameworks, data validation and quality frameworks, and data lineage frameworks.
$103,000 - $154,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with ETL processes and data integration technologies, such as SQL, Python, and data integration tools like Hevo and Fivetran. Provide data governance and quality assurance, ensuring that data is accurate, consistent, and secure.
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Optimize and automate Data Preparation activities through Tableau Data Prep, Alteryx or SQL.Data Delivery: Be the Owner of delivery & quality of data sources by partnering with the Data Engineering team to deliver Data & Metrics through Jira stories for Development, UAT and Production.
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5+ years experience with data handling/quality or ETL tools i.e. SAS, SQL, DataStage/InfoSphere, DataLever/RedPoint DM, Spotfire, Tableau or other industry-standard tools, with a good understanding of database methodologies and technologies.
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The Informatica Senior developer will create and maintain the Source-to-Target data mappings, Logical and Physical Data Model and, business and technical test cases to ensure data quality.
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JOB SUMMARY: Conduct Software Quality Assurance (SQA) testing activities to ensure that MultiPlan application products operate correctly and meet specified requirements. Please note due to the exposure of PHI sensitive data this role is considered to be a High Risk Role.
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Proficient in SQL and database systemsExperience with Shell Scripting and UnixExperience testing data for data marts, data warehouses, and data integration solutionsTrack record of completing assignments on time with a high degree of quality.
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You'll perform data validation and quality checks to ensure accuracy and consistency, monitor ETL jobs, and troubleshoot any issues to ensure smooth operation. A Snapshot of Your Day As a Business Intelligence ETL Developer, you will engage in daily activities such as collaborating with stakeholders to gather data requirements and define project objectives.
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Minimum of 2 year of US and/or Global Data Operations + ETL, XML, & MYSQL/SQL experience. + Responsible for assisting clients in mapping legacy data, identifying data quality issues and overall responsibility over conversion activates on the project.
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etl data quality jobs in Atlanta, GA
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