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Experience with NoSQL data stores such as CosmosDB, MongoDB, Cassandra, Redis, Riak or other technologies that embed NoSQL with search such as MarkLogic or Lily Enterprise. Contribute to evaluation, research, and experimentation efforts with batch and streaming data engineering technologies in a lab to keep pace with industry innovation.
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Job Title: Data Engineer. Firsthand healthcare industry experience with data & languages such as e.g., SQL, Python, R, SAS using Databricks solutions within the cloud (AWS or Azure.
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As a Sr Data Engineer you will be part of the client supporting Team. The ideal candidate will have Data pipelines , Python, AWS, Airflow ,Databricks, PySpark & Terraform which will align successfully in the organization.
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As a staff engineer on our EDA Engineering Team, you will be pivotal in building and supporting significant aspects of our data services and pipelines, that powers the next generation reporting and analytics platform.
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The Cloud Data Engineer will design future-state, modern data architecture for transformation at the enterprise level using advanced cloud architectural principles. Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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DUTIES: Provide leadership in building, administering, and managing multiple Data Analytical Platforms, such as Tableau Server, Alteryx Server, and Ab Initio Server platforms on-premises, and on Amazon Web Services (AWS), and on SaaS (Software as a Service.
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As the Staff Data Engineer, you will help work in AI and help build their AWS-based infrastructure and architecture. They are looking for a Staff Data Engineer in the AI space to join their company as one of the first engineers on the team with a clear path to career growth.
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Experience as a Data Engineer, Database Developer, Data Modeler, Data Architect or ETL developer. Experience with Azure Data Factory, Azure Databricks and Snowflake highly preferred (similar cloud technology experience also considered.
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Data Governance Engineer. ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, § Data Governance and Privacy: Informatica Axon and EDC, BigID, Anomalo or.
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Norfolk Southern Corporation is currently seeking a Big Data Engineer with an affinity for working with others to create successful solutions. This Data Engineer with a balance of theoretical business intelligence and data analytics knowledge and hands-on experience and exposure to real-world BI problem-solving.
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Strategic Staffing Solutions is currently looking for a Data Engineer, for a W2 contract opportunity with one of our largest clients! Tagged as: Data Engineer. Work with a team of developers with experience in integrating data with CRM tools like salesforce CRM Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Flink, Nifi, Storm and Kafka on AWS Cloud Work with other enterprise teams to integrate applications with API’s & other internal Tools.
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Strongly prefer experience building Data Lake & Data warehouse solutions using ETL,ELT pipelines on Databricks, Snowflake, Azure Data Lake etc. Provide technical expertise in the areas of design and implementation of Data Lake solution powered by Databricks on AWS cloud.
$195,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking a highly skilled Data engineer to work in our Commerce Product team at Grainger. 3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads.
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Working as part of the data engineering team, you are an expert on data pipelining and big data processing frameworks, have experience with working with various backend technologies and have a detailed working knowledge of core software engineering concepts, such as garbage collection, asynchronous processing, and data structures.
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The role of the Data Network Implementation Engineer is to provide technical implementation services to support the evolution and ongoing support of the IP Network in response to projects (all types), upgrades, service, and feature enhancements and for remediation/break-fix services.
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Title: data engineer Company: Mindcircuit
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