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Knowledge of data warehousing concepts and technologies like Snowflake or Redshift. Implementing and maintaining data warehousing and storage solutions to support data analytics and reporting needs.
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Experience with SQL and data warehousing/pipelining tools such as dbt and Airflow. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart.
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To ensure success as an E-commerce & Fulfillment Specialist, you should have a good understanding of warehousing procedures, a good eye for detail, and the ability to lift at least 49 lbs. We are looking for an enthusiastic and energetic E-commerce & Fulfillment Specialist to join our warehousing team full-time.
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Experience in data science and/or business intelligence, especially experience with data warehousing. As a wholly owned subsidiary of Constellation Software Inc. (“CSI”, symbol CSU on the TSX), Harris has become the cornerstone for CSI’s investment in utility, local government, school districts, public safety, and healthcare software verticals.
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This includes all aspects of data creation, data cleansing, metadata creation, data integration, data warehousing, Extract, transform and load (ETL), business intelligence (BI), data migration, and data enrichment.
$75,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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In-depth knowledge of Customer Service Software, ITSM, data warehousing, business intelligence, workforce engagement management. Knowledge in web / scripting technologies, HTML, CSS, JavaScript and SaaS applications.
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Data Warehousing (BigQuery, Snowflake, etc.) Data Warehousing (BigQuery, Snowflake, etc.) Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.
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Maersk Warehousing and Distribution USA LLC handles end-to-end warehousing and distribution logistics needs utilizing our strategic network of storage facilities. Manages subordinate managers who manage employees in Special Projects, Shipping and Receiving, Packing, Order Processing, Routing, Inventory and Auditing, and customer service departments.
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A solid level of knowledge is needed in account management, scheduling, customer support and service, product knowledge, product pricing, sales support, warehousing, distribution, transportation, and records.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Make recommendations to the Division Manager or Director of Warehousing regarding opportunities to improve inventory management. 1-2 years of inventory management experience, preferably in a warehousing environment.
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Data Architecture Leadership: Lead the design, implementation and operation of robust data architecture, ETL/ELT pipelines, and data warehousing strategies using Airflow and AWS cloud services.
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SQL Data Warehousing tools. This is a contract-to-hire position, looking for folks onsite in Aurora, Illinois for 2-3 days a week. Quicksite Data Visualization. Looking for an AWS Data analyst with experience with the following technologies.
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This role requires skills such as data modelling, data warehousing, data integration, data governance and an understanding of data security, data standards, and cloud architecture principles. Good knowledge of at least one of the SAP data warehousing solutions like SAP BW/4HANA or SAP S/4 HANA for both modelling and scripting including ability to write complex stored procedures.
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Our backend tech stack is based on GCP, Go, protobufs, BigQuery and MySQL. We have built our platform from the ground up to optimize for clean data sources, and we have made numerous investments into data warehousing, streaming analytics infrastructure and offline data cleanliness.
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