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Key technologies include Python, SQL, Apache Spark, Azure, Data Warehousing, Lakehouse, Big Data, Relational Databases, Data Governance, and Data Quality. Essential skills and technologies for this role include Python, SQL, Apache Spark, Azure, Data Warehousing, Lakehouse, Big Data, Relational Databases, Data Governance, and Data Quality.
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Our work depends on a Data Quality Analyst - Personal Security joining our highly skilled team to be a premier provider of cyber security services to the customer. Seize your opportunity to make a personal impact as a Data Quality Analyst - Personal Security supporting customer activities.
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Familiarity with data visualization tools like Tableau, Looker, or Power BI. Knowledge, Skills, and Abilities: Strong background in data modeling, data warehousing, and data quality assurance.
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Job Segment: Sustainable Agriculture, Manager, QA, Quality Assurance, Inspector, Agriculture, Management, Quality, Technology. Execute quality procedures based on Bunge standard. Monitor transactional entries into CSM and SAC for accuracy and data integrity.
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Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets. Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis.
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Tools and Technologies : Proficiency in data movement and integration tools like SQL, dbt, Qlik-Talend, AWS Lambda, AWS Glue, Informatica, Python, and Java. Strong knowledge of SQL, relational, and MPP databases (e.g., Snowflake, PostgreSQL, Redshift.
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This includes evaluating, monitoring, and updating data for quality, relevance, and accuracy. The Data Analyst evaluates a range of Monitor and Combat Trafficking in Persons’ (J/TIP) data sources and uses data analytics and data visualization techniques to help the J/TIP office to better explain the complex issue of human trafficking and the impacts of the office’s anti-trafficking work to the public and other stakeholders.
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Utilize programming languages like Scala, Java, Python, SQL and GO and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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The position will be responsible for leading the qualitative and quantitative research and data analytics related to policy, development, and implementation of an efficient, coherent, and cohesive system of oversight for Medicaid-financed LTSS. This position plays a key role in supporting LTCA’s overall LTSS Quality Improvement Strategy and alliance with District and Federal requirements.
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Proficiency in Qlik scripting language (QlikView Scripting, Qlik Sense Data Load Editor). Since its founding in 1996, OST has been committed to delivering high-quality, best-in-class results that bring added value to our clients while investing in our employees' futures by providing exciting projects to work on, and robust benefits to include technical training and certifications, relocation assistance and a 401K match with immediate vesting.
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If you are a talented Moodle Workplace Integration Engineer with experience in eLearning content migration and a passion for delivering high-quality solutions, we would love to hear from you. Experience in migrating eLearning content from legacy systems to Moodle Workplace, including data extraction, transformation, and loading processes.
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This is a full-time position with our company and the project is with DHA. This is an onsite role in Washington DC. Deadline to submit your application: August 15th, 2024 Summary: Job Summary: Works independently on NCR-WRNMMC wide project supporting all general COMPASS task categories—data extraction, data entry, analyses, cleansing, correction, 2nd level quality control, Workflow and HCM data processing, internal/external training, and reporting.
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Experience and proficiency developing and implementing quality assurance and testing programs for workloads that are implemented with AWS services, and software development technologies that include Vue.js, Python, Django, S3, SNS, SQS, Docker, EKS/Kubernetes, AWS Step Functions, EventBridge, AWS Lambda, AWS API Gateway, Elasticsearch, Caching frameworks, like Redis, Memcached, the Amazon Relational Database Service (RDS) for Postgres, the MongoDB NoSQL database service, and other AWS services.
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GW Hospital received the American College of Cardiology's National Cardiovascular Data Registry (NCDR) Chest Pain - Myocardial Infarction (MI) Registry Platinum Performance Achievement Award for 2023.
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Governance and Trends:Ensure high standards of data quality and implement data governance practices. Automation and Quality:Automate data workflows and ensure high data quality and reliability.
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data quality jobs Company: Bakerly Ranch Llc in Washington, DC
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