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A key responsibility is migrating historical data from Teradata to the new GCP system and developing data pipelines to streamline data loading into BigQuery. We are seeking a GCP Data Engineer to design, build, and maintain large-scale data infrastructure and processing systems.
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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Experience with NoSQL data stores such as CosmosDB, MongoDB, Cassandra, Redis, Riak or other technologies that embed NoSQL with search such as MarkLogic or Lily Enterprise. Contribute to evaluation, research, and experimentation efforts with batch and streaming data engineering technologies in a lab to keep pace with industry innovation.
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Lead the migration of Teradata datawahouse to GCP, ensuring data integrity, security, and minimal downtime. We are seeking a highly skilled and experienced GCP Data Engineer to join our team.
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Senior Data Engineer - REMOTE Contract/Hourly W2 only. This role is currently fully remote, but needs to be local to Dallas for potential changes [002] We are looking for a Senior Data Engineer to join our Data Engineering team.
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5 years of experience delivering solutions in at least two of the following: data science, data research, geospatial, finance, econometrics, cloud computing or big data and database management We engineer faster, smarter, leaner supply chains.
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Designs are implemented using VHDL and support the following type of applications: gigabit serial interfaces, Radio Frequency (RF) and Electro-Optical (EO) Digital Signal Processing (DSP), control loops, data links, embedded processing, and processor interfaces.
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The Senior Data Engineer will report directly to the Manager of Data Engineering and works with a broad range of internal IT teams, business facing and potentially, external vendors.
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Experience with data integration platforms is a plus (e.g., Databricks) Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Arcadis is seeking an experienced Water/Wastewater Engineer to join our Resilience Water team in Dallas, TX. Role Description : This is an exciting opportunity for a self-motivated design engineer to join our team locally.
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We are accepting applications for our very own DoD SkillBridge Fellowship Program supporting the Data Center Operations, Critical Facilities Engineer. DoD Military Skillbridge - Data Center Facility Engineer (HVAC, Mechanical, Electrician, Security Systems)Equinix is the world’s digital infrastructure company, operating 200+ data centers across the globe and providing interconnections to all the key clouds and networks.
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Feuji Inc is a global technology solutions company that strives to be a trusted partner in your digital transformation journey, with a focus on empowering your organization to shift IT from a cost center to a revenue generating powerhouse focused on Cloud, Data science, and Cyber security.
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Visualization Tools: Tableau (preferred), QlikView, Power BI Data Quality: Understanding of data quality best practices and experience in implementing data governance principles. Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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5+ years in an engineering role engaged with IP network technologies including LAN switching, BGP/OSPF routing, VPLS/MPLS, Quality of Service, traffic engineering, server load balancing and network-security design and delivery for large scale multi-site data center environments.
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teradata data engineer jobs Company: Applab Systems Inc in Irving, TX
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