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The Data Science Solutions Consultant Senior is responsible for the design and development of analytic models, applications, and supporting tools, which enable Data Scientists to create algorithms/models in a big data ecosystem.
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You will be working on the design and implementation of big data solutions including data mining, data analysis, selection algorithms and multi-dimensional analytical queries for massively parallel processing on large scale networks.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar.
$94,500 - $122,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Possess deep technical skills to turn big data in Teradata and Hadoop into actionable insights and ability to think about the big picture and connect the dots to evaluate how the insights impact eBay’s ecosystem.
$149,200 - $234,850Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Queries disparate big data platforms such as Teradata, and AWS/Databricks using advanced SQL techniques including relational joins and temp tables; data cleaning and uploads; CTEs; aggregation, window and analytic functions; and data-transformation (convert, cast, substring, etc.
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Strong experience with SQL and Relational database engineering (Oracle, SQL Server, Teradata) expert-level SQL abilities. Strong experience with data engineering with emphasis on data analytics and reporting.
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You will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics COE. Team members are skilled data scientists highly fluent in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target to perform modeling, visualization, and advanced analytics.
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Knowledge and working experience in cloud and data technologies: GIT, SQL, Spark, Druid, Hive, Hadoop, Teradata, and Big Query, Tableau, Power BI and Looker visualization tools. Preferred: Technical experience in Data Engineering domain.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in big data platforms (e.g. Hadoop, Spark). - Experience in SQL, Python, Splunk, Relational DB (e.g. Presto/Teradata). - Familiarity with data visualization tools (such as Tableau) and Excel, Keynote for data analysis and presentation.
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. GCP Data Engineer.
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Role: Big Data Testing. Experienced QA with expertise in Agile Functional, Teradata, Hadoop and Automation testing. Primary Skill: Hadoop/Teradata/Agile Testing (Must have.
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Develop a comprehensive migration strategy for our data infrastructure and workloads to GCP Handle complex migrations from legacy Teradata warehousing solutions or on-prem Hadoop/Hive to Big Query in GCP Implement Cloud based solutions based on various GCP services and technologies such as BigQuery, Dataflow, Dataproc, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQL, Cloud functions and Cloud scheduler.
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Stefanini is looking for Google Cloud Data Engineer, Location: Dearborn, MI (Hybrid) Google Cloud Data Engineer. GCP Infrastructure as Code Terraform Development Deployment through Tekton pipeline GitHub Python.
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3 years of experience working with Data Warehouses such as Redshift, Snowflake, Vertica, or Teradata. 3 years of experience working as a software engineer focused on Data Warehouse architecture, analysis, design, and development in Big data technologies and AWS technologies.
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Responsible for interpreting big data/analytic projects that integrate large volumes of data, perform analysis, and recommend actionable insights. Requires a Bachelor’s degree in Computer Science, Mathematics, or related disciplines; 3-5 years of experience in predictive analytics and experience with software such as Hadoop technologies; 3-5 years of Teradata experience and complex SQL, or equivalent; or any combination of education and experience which would provide an equivalent background.
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