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Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), design principles) and Data Warehousing (such as Redshift, Teradata, Vertica, schema design, query tuning and optimization) and data migration and integration.
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The ideal candidate will have extensive Microsoft/Azure data services and Databricks technology experience. Design, develop and maintain data pipelines using Databricks and Microsoft Azure services.
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5 or more years of experience as Master Data Analyst or Data Engineer. The Vendor and Customer Master Data Analyst will support the business team’s data quality needs to facilitate each business group’s transition from implementation phase to business operations.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Cloud Data Platforms (AWS, Azure, Google Platform, Databricks, Snowflake) Data integration Tools (Informatica, Talend, etc.) Experience with data pipeline and workflow management tools (Airflow, etc.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are looking for a Lead Data Scientist, Partnership Growth to drive unparalleled value for our insurance partners. Build scalable solutions and processes to analyze customer historical loss data and uncover trends to inform business decisions.
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The Misharin lab is seeking a computational biologist/bioinformatician/data analyst with expertise in machine learning, genomics, single cell RNseq, and single cell spatial genomics to support the ongoing research projects focusing on mechanisms governing lung injury and repair (see Grant et al., Nature, 2021; Sikkema et al., Nat Med, 2022; Bailey et al., bioRxiv, 2023.
$77,525 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Data Platforms – Hadoop, Spark, Oracle, Exadata, SQL Server, DB2, MongoDB, Teradata, Splunk. Collaborate with data analyst and business intelligence teams to design data visualization solutions and reporting on adherence to data architecture and data governance metrics.
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Design and develop data architecture solutions utilizing Microsoft Azure services, including Azure Data Factory, Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, Azure Databricks and Azure Analysis Services.
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The Vendor & Customer Master Data Analyst is a key position within Lactalis USA Transformation Management Office (LUSA TMO), responsible for driving change and delivering value. Position Title: Vendor & Customer Master Data Analyst.
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Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.
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10+ years professional work experience as a data scientist or on advanced analytics / statistics projects with 5+ years' experience in one of the following sectors: Aerospace & Defense, Automotive, Banking, Consumer Products & Retail, Financial Services, Healthcare, High Tech, Industrial Products, Insurance, Life Sciences, Manufacturing, Public Sector, Telecom, Media & Entertainment, and Energy & Utilities.
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Stay Updated: Keep abreast of emerging trends and technologies in data engineering, visualization, and UX/UI design. 5+ years of experience in data engineering with a focus on data visualization and UX.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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You Have: 3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads. 3+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi 3+ years of experience prepping structured and unstructured data for data science models.
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Title: data Company: Ancestry in Chicago, IL
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