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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Technical Leadership –Lead data integration across the enterprise thru design, build and implementation of large scale, high volume, high performance data pipelines for both on-prem and cloud data lake and data warehouses.
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Bachelor’s degree in Computer Science, Information Systems, or 3+ years of experience in data management disciplines. Big Data and Analytics: To handle and analyze enormous volumes of data, Data Engineer should have experience use big data technologies like Azure Databricks and Apache Spark to create data processing workflows and pipelines, to support data analytics, machine learning, and other data-driven applications.
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Salary: Data Entry Work from Home - Part Time Computer Job. Work from Home Online Computer Work - Administration, Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
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Lead the technical configuration, implementation, administration, management and support of multiple data security products and solutions such as CASB, SASE, DLP, DSPM etc. Function as a subject matter expert in multiple service areas of data security and operations – Data Loss Prevention (DLP), data minimization, data discovery, cloud data protection, Privileged Access Management (PAM), data privacy, data classification and rights management, key and certificate management, data encryption, data access governance, etc.
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Utilizes data from selected platforms including SQL Server, Salesforce, Power BI, Procore, NetSuite to successfully deploy business intelligence solutions to satisfy customer and business requirements.
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Big Data Tools: Kubernetes (K8s), Hadoop, Spark, Postgres, Databricks, Azure cloud offerings including (Azure Synapse, ADLS, Azure Functions) Design and build an HR data platform, based on modern data warehousing/lakehouse practices, integrating data from multiple source systems, including cloud and on-premises applications such as Workday, employee listening tools, learning systems and broad HR technology stack.
$137,000 - $214,300 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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We need: A senior Oracle Data Modeler/PL/SQL Developer with experience in PL/SQL programming, Hands on experience in performance tuning Oracle database and SQL and understanding of ETL tools (Data Stage and IICS Informatica preferred) and business intelligence reporting, with some exposure to Cognos and PowerBI.
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Under general supervision, the Oncology Data Analyst is responsible for maintaining the cancer database including casefinding, case analysis, abstracting, follow-up, data submission, report writing and quality control.
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Dive into our existing data infrastructure—PowerBI, Qlik Replicate, and Snowflake. Develop front end data-oriented applications and tools using TypeScript. Develop data models, pipelines, and analysis using SQL and Python (Pandas, Polars, NumPy, distributed frameworks like Spark.
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Document best practices and quality standards to be adherence during development of data science solutions. This individual may be asked to solely perform the functions, per agreement with the Enterprise Data Science Manager.
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Design, develop, and build mockups, reports, and dashboards using business intelligence and data visualization tools, such as Microsoft Power BI. Implementing row-level security on data along with an understanding of application security layer models in Microsoft Power BI.
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Duties: · Mechanical assembly of power components, boards, enclosures, and cable assemblies · Fabrication with machining of metal, plastic, and composite materials · SolidWorks, Altium PCB design or similar software and Product Data Manager (PDM) software to access work instructions, BOMs, designs.
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The Supervisory Control and Data Acquisition (SCADA) Engineer is responsible for designing, configuring, and deploying SCADA systems using Ignition in automotive manufacturing environments. Investigating Siemens and Allen Bradley PLC code to understand and improve the data being sent to SCADA.
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Remote Work From Home Jobs / Data Entry Clerk - Typing - Work At Home - Doing Data Entry - 100% Remote - Earn Immediately. Our paid market survey participants originate from all backgrounds and markets including data entry clerk, administrative assistant, receptionist, sales assistant, customer service agent, warehouse or factory workers, chauffeur, medical assistant, nurse, phone call facility representative, etc.
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data job Title: data science lead Company: Joveo Us in Troy, MI
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