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Develop code using SQL, SQL procedures, UNIX, python, ETL tools like Informatica Power center, AWS services like S3, data pipeline, AWS Glue, Python, AWS Lambda and Athena, Azure services like Data Lake, Data factory and Databricks to Load data into Data warehouse/DataMart/Data Lake.
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Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Expert experience with data warehouse design, data modeling, ETL design and cloud-first data integration techniques, report development and data visualization concepts.
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Design and build data solutions using Databricks, SQL, Python, Spark, and Delta Lake in the Azure ecosystem (Blob Storage, Data Factory, Event Hubs). Collaborate with engineers, product, and business leaders to ensure data platform is integrated with other systems and technologies (Tableau, Power BI, APIs, custom applications.
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Capturing and managing metadata information by leveraging metadata management solutions like Collibra Data Governance, Informatica Axon, or IBM InfoSphere Information Governance Catalog. Managing data assets, policies, and stewardship activities by using data governance platforms like Collibra, Alation, or Informatica Axon.
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Driving Results: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL (using dbt for transformation), commercial SaaS and OSS offerings, and the entire AWS suite of technologies.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Documenting and enforcing data governance policies using platforms like Collibra Data Governance or Informatica Axon, which include policy management and enforcement features. Proficiency in using data management tools and platforms, such as data cataloging software(e.g., Collibra, Alation), data quality tools (e.g., Informatica, Talend), and data governance platforms (e.g., IBM Data Governance, SAP Data Intelligence.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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Work closely with scientists within the in-vivo pharmacology group to verify in-vivo and Pharmacodynamic (qPCR) data. Work closely with scientists within the ADME group to verify bioanalytical data generated using HPLC-FD and LC-MS/MS.
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Develops the ETL, database and system code to acquire, integrate and load data to our data lake, data warehouse systems and related data martsPerforms unit testing to assure quality repeatable, quality processes with accurate data results.
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A Masters’ degree in computer science, AI/ML, data science, mathematics, statistics, applied linguistics/psychology/neuroscience and related fields, or 2+ years of equivalent experience. Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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2+ years of experience with Azure Data Factory, Azure Data Lake Gen2, Azure Databricks, Blob Storage, Azure SQL Database, Azure App Service, and Azure functions. 2+ years of experience with Big Data Technologies such as: Hadoop, Sqoop, Hive, Kafka, Spark, Pyspark, Python, Scala, or Pig.
$125,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Proficiency in statistical programming languages (e.g., SAS, R) and clinical data management systems (e.g., Medidata Rave, Oracle Clinical) is essential. The Senior Vice President (SVP), Head of Data Analytics leads a multidisciplinary team responsible for biostatistics, statistical programming, and data management.
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As a warehouse associate at Floor & Decor, you are the backbone of our retail location. If you are friendly, organized, hard-working and someone who thrives in a warehouse environment, Floor & Decor is the place for you.
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By leveraging a blend of scientific, problem-solving, and quantitative skills, we provide superior data insights that empower Novo Nordisk to further develop and deliver life-changing products.
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data warehouse jobs Title: data in Bedford, MA
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