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As a Data Engineer 2 you will be working on delivering the strategic vision of critical Item and assortment planning processes with a near-real-time data platform, you will be a key part of our Nordstrom Technology team that applies scientific, mathematical, and social principles to design, build, and maintain technology products, devices, systems, and solutions.
$121,500 - $188,500 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Requires 5 years of experience with data warehousing, Teradata and Datastage. Drive the data strategy and align it with continuously changing business landscapes utilizing his background in data design, data architecture, and data modeling (both transactional and analytical.
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Requires 5 years of experience creating data products using HDFS and Hive within Hadoop to analyze and secure data; or building data pipelines, developing data products to support critical business initiatives, and overseeing data landing requests.
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Autonomously perform Quality Assurance and resolve data quality issues. Requires a master's degree in computer engineering, computer science, information technology, business analytics or a related field and 5 years of experience in the position offered or 5 years acquiring data from disparate sources, cleansing and transforming data, developing and implementing data analyses, and summarizing business insights.
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Contribute to overall data standards, information interoperability, data quality, and data availability. Model data, create data flow diagrams, load, and perform transformation.
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5+ years experience performing data warehouse architecture development and management across one or more data warehouse solutions including BigQuery, Synapse, Teradata, Vertica, or Snowflake.
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Independently drive alignment and delivery of data transformations and data products to meet business objectives. Evaluate, explore, and select the right data platform technologies to meet analytics requirements.
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Requires experience with the GCP Platform and GCP tools (Big Query, DBT, Astronomer and Tekton) Enterprise Technology plays a critical part in shaping the future of mobility. Productionize coded processes and contribute to overall customer/end-user experience strategy and vision.
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Junior Data Engineer. Required Skills:Teradata, Datamart, Vulnerability Remediation, Jira, Data Center. Title: Junior Data EngineerLocations: Charlotte, NC (Hybrid), (3 days onsite/2 wfh)Duration: 12+ Months ContractPosition Type: Contract.
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Experience with any of the following: Data Architecture, Elastic Search, DBT, AirHow, Palantir Foundry, Data Quality tools, Collibra, MOM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BL technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.
$200,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Lead in translating business requirements to build scalable, sustainable, efficient, coded processes. Build product and align the best coding and process practices that improve efficiency, speed, stability, system resources and capabilities.
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If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people's lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.
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Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer. 2 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
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Minimum 5 years of experience as a solutions architect, data architect, database administrator, or data engineer. Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Looker, Tableau.
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Proficient in writing complex SQL queriesGood Understanding of traditional RDBMS systems like SQL Server, Oracle, Teradata etc. Profile & Analyze Source Data (Mainframe Extracts, flat files, SQL Server, Web services etc.
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