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Key Responsibilities: Spearhead the analysis and strategy for migrating data warehouse systems to Oracle Cloud, establishing a robust Master Data Management (MDM) framework for enhanced data exchange and governance.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Collaborate with data team to migrate existing transformations, data warehouse, and reporting from legacy tools to BigQuery, and Looker. Minimum of four (4) Years of experience within the Google BigQuery (primary) or equivalent (Snowflake, DataBricks) environments.
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As a reminder the folks who work with us come from a wide variety of backgrounds like customer service representative, administrative assistant, health care workers, human resources, warehouse workers, car delivery drivers, remote work from home professionals, and many more.
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse) and data pipeline/ETL development tools (including Streamsets, Azure Data Factory). We are looking for a Big Data Architect IT Consultant Master (Min 5+ Yrs. Exp) ONSITE ( Webcam Interview.
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Prior experience integrating Snowflake and Databricks Prior experience building an investments data warehouse covering common data domains (clients, portfolios, funds, holdings, transactions, trades, securities/investments, ESG, analytics, performance, IBOR/ABOR/TBOR, benchmarks/indices) or with vended products that provide similar functions (e.g. Eagle, State Street Alpha platform) Prior experience in data science/AI/BI tools.
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Lead a team with respect to discovery, design and delivery of data models, data governance models, data migration plans, data warehouse design, ETL and reporting components of applications using Microsoft tools.
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As a PT or FT Pepsi Warehouse Worker, you can take pride in knowing that you helped get Pepsi products to every corner of the world Not to mention, you will embark on an incredible career journey - generous pay, Total Rewards benefits for you and your family (Health & Insurance, Well-being resources, Savings & Retirement plans), and flexible part-time, full-time and seasonal schedules available morning through night.
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Benefits: Competitive salary This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Share the benefits of the DSW (Designer Shoe Warehouse) Loyalty program and enroll new members. Designer Brands Inc. operates a portfolio of retail concepts in more than 640 locations under the DSW Designer Shoe Warehouse and the shoe co.
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Store Associates will perform salesfloor and warehouse functions throughout the store including assisting customers, merchandise placement, completing in-store and online customer transactions, processing incoming shipment, regular cleaning, and maintenance.
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Commercial data warehouse/ ETL tools such as, Talend, Informatica, Apache Airflow, etc. Commercial data warehouse/ ETL tools such as, Talend, Informatica, Apache Airflow, etc. Spark, the Spark ecosystem, and related tools like Databricks and Azure Synapse Notebooks.
$140,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Ensuring the integrity of data backup and storage systems Monitoring security software and tools Responding to security or usability concerns quickly Comprehensive grasp of data warehouse design best practices for data modeling and ETL system design Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar.
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Work collaboratively with other warehouse associates and team members to achieve daily picking and packing targets. Update inventory records in the warehouse management system to reflect items picked and packed for shipment.
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Safely perform assigned warehouse functions utilizing established processes, procedures and tools while meeting performance expectations for productivity, quality, safety and attendance. PIE equipment could include Crown, Pacer, Reach Truck, Order Picker, Barrett and Turret Truck.
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warehouse job Company: Kelly Services in Washington, DC
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