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Applicants should also have a demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
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O Guide assigned team(s)' technology champions to increase the use of data analytics and to ensure data analytic efforts are logged; co-lead execution of use cases and plans coordinating with team contacts when necessary.
$144,160 - $186,560 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. Optimize the performance of big data processing tasks and analytics jobs.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Powered by CORE ID , the most accurate and stable identity management platform representing 200+ million people, Epsilon's award-winning data and technology is rooted in privacy by design and underpinned by powerful AI. With more than 50 years of experience in personalization and performance working with the world's top brands, agencies and publishers, Epsilon is a trusted partner leading CRM, digital media, loyalty and email programs.
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The Data Architect ensures tight alignment and collaboration with technology and business teams, taking ownership for essential data strategy decisions. Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, statistics, operations research, econometrics, and/or information retrieval (image processing (OpenCV) and natural language processing is a plus.
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Job Description :About the Job:The Lead System Engineer will lead development efforts for multiple Big Data projects. This role is also accountable for developing the necessary enablers and data platform in the Big Data Lake Environment and has the responsibility of maintaining its integrity during the life cycle phases.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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They will work with various data sources such as Power BI, Nielsen, and IRI, to analyze the information and present to stakeholders. Assist in the design and development, and further maintain, interactive dashboards and reports using tools like PowerBI, syndicated data (Nielsen/IRI), and other relevant data sources.
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Expertise developing and maintaining data catalog tools and technologies, such as metadata management systems, data cataloging platforms, and data lineage tools. Experience with Master Data Management (MDM) concept, tools and practices.
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Through our cutting-edge treatments and affiliation with UT Southwestern, we strive to deliver an extraordinary patient and family experience, ensuring that every moment, big or small, contributes to their overall well-being.
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This nationwide mortgage industry leader has an immediate 9+ month contract opportunity for a Data Integration ETL Engineer/Developer with DataStage and Talend experience. 5+ Years of DataStage and Talend ETL and data integration experience.
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Developing data journalism study content with mentorship and support from our data journalist. You’ll work closely with our Communications team to build awareness and reputation for the Jerry brand, primarily through media relations and data journalism.
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Requirements: Requires a Bachelor’s degree (or foreign equivalent) in Computer Engineering, Computer Science, or related field and 5 years of progressively responsible, post-baccalaureate experience as a Data Analytics Manager, Data Engineering Manager, Software Developer, or related position involving Big Data analysis in Retail and Commercial Banking domain in Hadoop ecosystem.
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big data jobs Title: technology lead Company: Feed in Dallas, TX
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