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Job Description : POSITION OVERVIEW: The MassHealth Systems Teams unit seeks a highly motivated individual as a Data Warehouse Snowflake Migration Tester to join its Systems Quality Assurance (SQA) team.
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Experience (EMEAA):Five or more years of experience in leading master data governance initiatives in material management, transportation management, and distribution centre/warehouse management Good understanding of Business Systems – SAP, Coupa, POE/OMS, Salesforce, Steriworks, Omnitracs RoadNet, Descartes or similar Transportation Management Systems (TMS) Foundational understanding of Product, Services, Supplies etc.
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In this role, you'll grow your technical expertise, apply best practices, and use tools, including Microsoft SQL, SSIS such as SQL Server Integration Services, Microsoft Azure, and Oracle, to design databases, build data models, conduct ETL processes, design and manage data warehouse applications, and optimize cloud computing resources.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Top must-have skills: Minimum 8 years of related experience Data Mesh, domain-driven design Data, Object modeling Database/Data warehouse - AWS RDS, Snowflake, AWS Redshift.
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Interviews business users to obtain requirements for enhancements and/or new analytic assets · Maps source system data to data warehouse models. · Participates in Architectural strategies on the EDW migration to Cloud platform e.g., integration with Data Lake and other Azure services.
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Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS) and modern data warehouse tools (Snowflake, Databricks) 10+ of relevant experience in design and implementation of data models for enterprise data warehouse, data lake and data science initiatives.
$258,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Responsibilities include developing warehouse architecture, collaborating on data strategy, analyzing data sets for insights, maintaining data quality, and enhancing BI systems.
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Good understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications.
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Requires two (2) years of experience in each of the following: Analyzing large data sets from multiple data sources; “Big data” platforms including Hadoop (Azure, GCP, or AWS); Traditional relational data warehouse technologies: Oracle, Teradata, or DB2; Visualization tools, including PowerBI or Tableau; Java, Python, Hive, or Cassandra; and Hadoop or HDFS commands.
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Engineers are responsible for implementation and maintenance of multiple proprietary databases, with a focus on an Azure Synapse Enterprise Data Warehouse. KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for an Enterprise Data Engineer.
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Design, develop and implement robust and extensible ETL solutions to support data warehouse integrations and transformations using CDI/CAI services on IICS platform, UNIX/PowerShell. 8+ years Data Warehouse/Data Lake Architecture and Development.
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Senior Data Warehouse Architect w/Data Analytics Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations.
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Experience in any of the following is a plus: ETL/ELT, data warehouse design, DB design/data modeling, web services (REST API), MQ, streaming data processing, and microservices.
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Experience with Cloud Data Warehouse platforms e.g., Snowflake, Azure Synapse. Maps source system data to data warehouse models. Experience with the Azure stack (Azure Data Factory, ADLS, Azure Databricks, Azure ML, Azure Synapse, and Azure SQL) to help build a modern platform for data that will be sourced from a variety of analytic and operational application.
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Mentor and manage other engineers, instructing them on modern data warehouse architecture and ensuring data engineering best practices are being followed. Expertise in building ELT pipelines, Kafka, data transformation tools (eg, dbt), and modern BI platforms (eg, Looker, Tableau), GitHub, AWS, SQL, and strong proficiency in Python as well as analytics databases (e.g., Snowflake or another columnar DB) and associated pipelines.
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warehouse job Title: data in Waltham, MA
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