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Provide hands-on development of new data solutions, master data management, and ETL / ELT processes, using data modeling and SQL skills to optimize scalability, performance tuning, reliability, and security of data systems and ensure data quality and consistency.
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Experience with data quality and data profiling tools like Apache Griffin, Deequ, and/or Great Expectations. The technology stack of this CSR data product build is Azure SQL Datawarehouse, Python, Databricks, and Azure Datalake at a high level.
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Implementing data quality checks and ensuring the accuracy, completeness, and consistency of data throughout the pipeline process. As an ETL/ELT Pipeline Engineer, you will be responsible for designing and building efficient data integration pipelines using GCP native tools or open-source technologies such as Python and PySpark.
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Responsible for the implementation and coordination of supplier transitions with cross-functional teams and matrix resources tied to strategic sourcing activities (including overseeing on-line qualification trials, sample testing, and distribution testing)WHAT YOU’LL NEEDUndergraduate or graduate degree in Quality & Food Safety, Animal Science or Food Science preferred.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 1+ years of data warehousing experience (Redshift or Snowflake.
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Experience with multiple large scale Enterprise Hadoop or Big Data, Data Bricks, Cloudera, HD Insights, or other environments focused on operations, design, capacity planning, cluster set up, security, performance tuning and monitoring.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake, AWS. Center 3 (19075), United States of America, McLean, VirginiaSenior Manager, Data Engineering - Capital One Software (Remote Eligible.
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Developing data journalism study content with mentorship and support from our data journalist. You’ll work closely with our Communications team to build awareness and reputation for the Jerry brand, primarily through media relations and data journalism.
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Understanding and being highly proficient at querying a wide variety of healthcare data and related population data (medical/pharmacy claims, behavioral health claims, health care management (HCM) records, electronic medical records (EMR), provider databases (AMA, NPI, DEA, etc.
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Experience in building and managing data platforms or data warehouses, ensuring data quality and integrity. Minimum Qualifications:Bachelor's Degree/equivalent in business, human resource management, industrial organizational psychology or data science.
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Job Title: Pega Developer Location: Plano, TX (3 days onsite, 2 days remote) Duration: 12+ Months Pega BPM Certified Senior System Architect (CSSA): 7+ years' experience in Pega Application and Case design, Data Model design, Data Migration, User experience design, security, background processing, performance, deployment, and testing.
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Work with others to support the following phases of eDiscovery process: identification, preservation, collection, data processing, and limited internal document review. The primary responsibility of this role is to support the Toyota Legal One department with the following phases of the eDiscovery process: identification, preservation, collection, data processing, and limited internal document review.
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As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. 2 or more years of hands-on experience with EnCase, Cellebrite, Nuix, Magnet Forensics, ZL, Relativity, and other eDiscovery technology solutions.
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Supports in action and attitude Acumed customer service (Quality, Cost & Delivery), lean manufacturing concepts, and process improvement activities. Finishing Tech's follow written standard operating procedures and work instructions to ensure products conform to quality standards which support patient safety and positive customer outcomes.
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The Quality Assurance (QA) Solutions Architect will plan the architecture and solution design for our Quality Engineering transformation. 8+ years of experience with test data management tools such as Zephyr Scale/Zephyr Squad, TestRail, qTest, and HP ALM.
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data quality jobs Title: data specialist Company: E Solutions in Plano, TX
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