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A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance. The teamThe US data engineering chapter is a professional practice of data and data quality engineers.
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Providing administration support for Informatica EDC/Axon, CGDC, Metadata Command Center, Data Quality and Cloud Data Quality which includes installation, configuration, upgrades, and business continuity support.
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Build processes to help identify and improve data quality , consistency and effectiveness. Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow.
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Hands-on experience with modern data warehouses and lake solutions such as Snowflake, Amazon Redshift, MongoDB, Azure Data Lake Storage, Databricks Delta Lake, or Hadoop ecosystem. The Principal Product Manager for Data & AI Governance will lead the charge for roadmap execution delivering the capabilities Privacy, Security, and Data Governance professionals use to understand, control and protect their sensitive data.
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Knowledge of data process modelling for an enterprise and business function-specific data architecture (conceptual, logical & physical) designed for scalability, consistency, integrity, and quality Knowledge of data governance framework that establishes, develops an Enterprise Data Management (EDM) framework that aligns with the overall enterprise data governance policies.
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This position operates as the data quality assurance specialist and impact analyst for the Head Start/Early Head Start Program and supports implementation fidelity in all ERSEA areas. The CQI Coordinator will be responsible for implementing quality improvement initiatives, conducting audits, analyzing data, and collaborating with cross-functional teams to identify areas for improvement across all content areas.
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The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
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Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps. Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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This role requires extensive experience in data center construction management, specifically within the data center sector, and will involve coordinating with various stakeholders to ensure projects are completed on time, within budget, and to the highest quality standards.
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The Operations Management team handles requests for new or changed access to services, chargeback reporting, contract administration, market data invoice processing and general inquiry handling for index and market data services.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. Sight and Sound play a large role in our day-to-day experiences.
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Analyzes and evaluates data fields of GCIC/NCIC records in department. Inquiries against confidential criminal justice data bases for compliance with the Rules of the GCIC Council, federal and state laws and operational procedures.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, and data visualization tools. Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers for full-time positions with clients.
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Provide expert project leadership as a subject matter expert: give guidance to team members and participate in cross-departmental projects to deliver high-quality, data-driven results. Thorough knowledge of relevant programming languages (primarily Python, SQL), object-oriented programming principles, Big Data tools and Data Mining/Warehousing Programs (preferably Google Cloud BigQuery.
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data quality jobs Company: Honeywell in Atlanta, AR, France
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