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Expertise in various big data technologies, both open source and cloud-native, AWS preferred (Kinesis, Athena, PySpark, Airflow) As a Senior Data Engineer at TIFIN, you will report straight to our CTO and will be an integral part of the team as a high-impact individual contributor in a fast-paced environment.
$120,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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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.
$105,000 - $173,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Data Platforms Team, a segment under the Disney Entertainment & ESPN Technology (DEET) organization is looking for a Senior Data Engineer to join our Product Performance & Instrumentation Data Team. Product Performance Data is critical to making product level decisions for the DEET Portfolio whether it’s related to product design, measuring advertising effectiveness, helping users discover new content or building new businesses in emerging markets.
$136,100 - $191,100 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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For 30 years, we've worked with both disruptors and the disrupted- from big brands like JPMorgan Chase, Delta, Starbucks, Microsoft, Meta, Mount Sinai Health System, and HBO, to challengers like Iceland Tourism, Smartsheet, Airbnb and Lyft. And our commitment to change has led us to create essential campaigns for organizations like Communities in Schools, Planned Parenthood, Girls Who Code, Lebron James' More Than a Vote, and Presidents Barack Obama and Joe Biden.
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5+ years in designing, solutioning the Databricks, Snowflake, PySpark and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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Promote modern approaches in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs) within the computational and data ecosystem to advance researcher productivity and scientific discovery.
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Design and implement complex data models on Azure Synapse Analytics to support data warehousing and big data solutions. Experienced in big data and NoSQL solutions by developing scalable data processing platforms to drive high-value insights to the organization.
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Design and develop end-to-end business intelligence solutions using Microsoft Power BI, including data modeling, data integration, and report/dashboard creation. Ensure data security and compliance standards are met by implementing appropriate security measures and access controls within Power BI.
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Strongly prefer experience building Data Lake & Data warehouse solutions using ETL,ELT pipelines on Databricks, Snowflake, Azure Data Lake etc. Provide technical expertise in the areas of design and implementation of Data Lake solution powered by Databricks on AWS cloud.
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Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake. Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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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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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
$145,000 - $192,500 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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You will gain exposure to many facets of the ABS and RMBS spaces, combining information from a variety of sources (loan-level transaction data, deal documents, trustee reporting, etc.) You are able to identify key metrics and transactional details on financial statements, investor reports, and securitization trustee reports and are not afraid to get your hands dirty by diving into loan-level data.
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Big Data and Analytics. Data Center Modernization skills including, but not limited to: Data Center Facilities modernization, Data Center Migration, Data Center colocation, Data Center Consolidation, Data Center core networking concepts, etc.
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Any one of the data warehouses BigQuery, Redshift or Snowflake, developing data ingestion pipeline. Data visualization/analytics tools – at least one (1) of the following: Tableau, DataStudio, Looker, IBM Cognos or Business Objects.
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big data jobs Title: developer Company: Simventions Inc Glassdoor in New York, NY
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