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Data Quality Engineer


This is a Full-time position in Dallas, TX posted February 22, 2021.

Title Data Quality Engineer Location Dallas, TX (Remote Till COVID) Duration 12 + Months At least 10+ years of experience in Data Domain and fair knowledge of customer 360 Degree view. Good knowledge of how Data is presented in the financial domain. Able to write the complex sql queries to pull data from different sources Analyze the data between the system(Source and Target Systems) and report the deviations. Co-ordinate with the different LOBrsquos to understand the Data in each system. Work with RMrsquos to correct the data Good knowledge in ETL process. Develop and automate large scale, high-performance, scalable platform (batch andor streaming) to drive faster analytics. Ability to design large-scale, complex applications and frameworks with excellent run-time characteristics such as low-latency, fault-tolerance and availability Experience in building and maintaining custom frameworks to support engineeringanalytics needs Knowledge of continuous integration, testing methodologies, TDD and agile development methodologies. Partner with analytic consumers and data scientists to build and improve newexisting constructs and solve data engineering problems. Exposure to structured or unstructured storage and distributed caching. Deploy inclusive data quality checks to ensure high quality of data. Experienced Engineer or Contributor or Committer to open source technologies is plus. Evangelize high quality software engineering practices towards building data infrastructure and pipelines at scale. Structured thinking with ability to easily break down ambiguous problems and propose impactful solutions. Communication Strong documentation and technical writing skills. Attention to detail and effective verbalwritten communication skills. Hands on technical engineer who can developmanage the team without any supervision. Technical Skills EDP, BADR, SQL, ETL(Any tool), Python and Microsoft Azure Tools. Please share resumes at