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Overview: Overview The Quality Control/Safety Inspector ensures personnel follow applicable quality control (QC) and environmental health and safety (EHS) policies, procedures, directives, and standards pertaining to the performance of facility maintenance, alterations, repairs, preventive maintenance, service calls, and other services.
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Improve the quality of data and usability by driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions.
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Knowledge of data governance principles and practices, including data quality management, metadata management, and data lineage. Monitor and maintain data warehouse health, including data quality, data consistency, and system performance, and implement proactive solutions to address issues.
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Extracting data from CBRN-related modeling programs through post processing utilities to provide analysts user-friendly data tables and graphics to depict complexities such as toxicity effects over time, degradation of agent strength, and contaminated area coverage as a function of time.
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DataAnnotation is committed to creating quality AI. Join our team to help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule. Note: Data Annotation payment is made via PayPal. We will never ask for any money from you.
$20 an hourRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
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Using data warehouses (e.g., Snowflake, Redshift, BigQuery) to load and analyze data, including using complex SQL queries to transform data and tools like dbt to manage data transformation.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Conduct environmental sampling of store equipment and facilities, interpret data and provide feedback and direction to the store and district management staff. A minimum of 3 years' food safety or quality assurance related work.
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Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark. Proven experience as a Solution Architect or Data Engineer, with a focus on Databricks.
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The group further comprises a Data & Digital Strategy function tasked with developing and executing a holistic digital and data strategy to improve quality and compliance, covering areas such as Data Foundations, AI/ML & IoT technologies, Quality & Compliance Innovation, and Digital Assets validation.
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Proficiency in Qlik scripting language (QlikView Scripting, Qlik Sense Data Load Editor). Your expertise in QlikView and Qlik Sense will be crucial in providing actionable insights and driving data-driven decision-making within the DoD.
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Familiarity/experience with various data formats including database specific (Oracle, SQL Server, DB2, Quickbase), text formats(CSV, XML) and Binary(Parquet, AVRO) Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development.
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Ensure data quality and governance through the use of tools like Collibra and Informatica Metadata Manager. Experience with one or more of the following technologies: SSIS, Abinitio, Alteryx, Oracle Data Integrator, SAP HANA, Oracle BI Enterprise Edition, Collibra, Informatica Metadata Manager, Denodo, Greenplum, IBM DataStage, Teradata, Talend, Pentaho, Netezza, SAP BPC, SAP Business Warehouse/HANA.
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We seek to fill an ETL Data Engineer role for OCTO - Office of the Chief Technology Officer in the DC Government. · Strong knowledge of Extraction, Transformation, and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, and Informatica by gathering requirements from the stakeholders or analyzing the existing code and performing enhancements or new development.
$100,000 - $107,000 a yearExpandApply NowActive JobUpdated Today
data quality jobs Title: quality Company: Premier Research in Washington, DC
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