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Advanced technical certifications: AWS Certified Cloud Practitioner, Solutions Architect, Certified Developer, or SysOps Administrator certifications; RHEL RHCSA/RHCE; AWS Certified Data Analytics, DASCA Big Data Engineering and Analytics preferred.
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Division of Health Data Science in DOS is a newly created division which focuses on development of novel data science methods to analyze biomedical big data for advancing health care.
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YOUR SKILLS AND EXPERTISEBachelor’s degree in computer science, data science or a related field with five (5) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.STANDOUT QUALIFICATIONS:Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query)Experience partnering with Analytics and Data Science teams in building out production grade GenAI/ML solutions.
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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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Deep understanding of Apache Spark, Delta Lake, and related big data technologies, and proficiency in modern programming languages such as Python and Scala. 4+ years of experience in the big data space.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Thomson Reuters - Faster access to Snowflake data and a 60x increase in data usage resulting in greater productivity. Immuta was recognized as the Snowflake Data Security Partner of the Year in June 2023.
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If you have a passion for the latest open source technologies, cloud-native development, data center technologies such as Kubernetes and computer networking, you will love the Alliances Engineer role at Canonical.
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Develop tabular data models using visual studio and Power BI datasets by integrating data from different source systems like Azure data lake gen 2, Azure SQL database, share point etc.
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Big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. Microsoft Azure Cloud platform familiarity with Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps.
$78 an hourExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Great to haves: Experience with Databricks or S3 based data lakes Experience writing Python or Scala code Exposure to big data tools: Hadoop, Spark, Kafka, etc. As a Senior Data Engineer, you will help evolve our platform (Databricks) and our partner integrations (HubSpot, Iterable, Appcues, etc.
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As a CBRE Sr Occupancy Planner, you will provide space planning, data mining, reporting, and interpretation of space planning metrics for large and high-profile clients needs. Whether it is a single occupancy plan to support project delivery or ongoing space management services to maintain accurate occupancy data, the CBRE platform brings together subject matter authorities passionate about providing the best solutions to improve portfolio insights.
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Utilize Azure Databricks for big data analytics. Use Microsoft Power BI for data visualization and reporting. Demonstrable skills in using Azure Data Factory, Azure Data Lake, and Azure Databricks.
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Utilization of statistical and/or data visualization software such as Excel, SAS, R, Tableau, or Power BI. This position will collect, analyze, validate, and interpret data, along with assisting in the preparation of reports, and visualizations, which enables the Substance Use Epidemiology Unit to accomplish the work specified in cooperative agreements with the Centers for Disease Control and Prevention (CDC.
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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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These projects should be targeted to enable multiple business processes and/or source data systems to drive efficiencies and reduce redundancies supporting one or more of the following functions: internal audit, compliance, enterprise risk management, operational risk management, technology risk management, third party risk management, cyber security, business resiliency, incident management, SOX (and/or other compliance frameworks), or other business programs/initiatives.
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big data source jobs Title: scientist in St Paul, MN
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