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Skilled Worker / Semi-Skilled Worker | Full-Time | Supply Chain and LogisticsGlobal Tools / Tools Region NCSA / Production and Repair The Warehouse Worker will be responsible for warehousing small and large construction tools, performing shipping and receiving tasks, using a reach truck, sit down forklift, and other industrial machinery, picking and packing tools, parts, and assemblies, performing inventory counts, maintaining high safety standards, and utilizing SAP for data entry.
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Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy.
$134,000 - $204,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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End-to-End Management: Proven ability to manage the entire spectrum of warehousing operations, from receiving and quality control to order fulfillment and shipping, ensuring seamless coordination and maximum efficiency throughout.
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Responsibilities will include data operations, analytics, and stewardship with the purpose of maintaining data quality and integrity in our platform. Working knowledge in Data Management tools such as Collibra DQ, Alation, Tosca or others.
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Deep expertise in technical solution architecture, service-oriented architecture (SOA), data architecture, performance scaling, cloud computing, data governance, data quality management, application integration, business intelligence, data warehousing, big data analytics and metadata management from ideation to deployment.
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Should have in depth understanding on Data Warehousing, Data Analysis, Data Profiling, Data Cataloging, Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary, Data Mapping, Data Policy and Data Governance.
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Utilize GCP technologies such as BigQuery for data warehousing, Cloud Storage for data lake solutions, Dataflow for stream and batch data processing, and Vertex AI Pipelines for orchestrating and automating ML workflows.
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Experience with data as a product and business intelligence concepts, such as data governance, data quality, data lineage, data catalog, data visualization, and data storytelling.
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Empirical understanding of data systems (BI analytics, data blending, data warehousing, data ETL, etc.) Serve as Tableau developer and Subject Matter Expert (SME) as well as work closely across financial management directorate to ensure data sources are accurate, available and analyzable.
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Solid experience implementing data lineage, data quality and data observability for big data workflows. 10+ years of experience for senior, and 15+ for principal, of proven experience in modern cloud data engineering, data architectures, data warehousing, and software engineering.
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Knowledge of data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). Proficiency in programming languages such as Python, Java, or Scala for data engineering and software development.
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Introducing and maintaining best practices across multiple data engineering disciplines like Data Lakes/Data Warehousing and batch processing, streaming and real-time data processing, API for data-as-a-service, data quality, etc.
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Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data. Good understanding of Data Warehousing and Data Modelling concepts on AWS Redshift.
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Responsible for ALL DOMAIN data harmonization across multiple sources, responsible for MDM data quality, processes, and business rules. Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
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DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. Experience in data architecture, data quality, metadata management, ETL, analytics, reporting, and database administration.
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