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As a DataOps Engineer, you will play a significant role in the smooth operations of our global data platform by designing, implementing, and operating processes and tools that enable data innovation, increase trust in the data and speed up the development cycle.
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The Senior Data Engineer will support our data initiatives and will ensure an optimal data delivery architecture that is consistent throughout ongoing projects. 8+ years of experience in a Data Engineer role at a fast-paced organization.
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We are currently seeking a Geologist, Engineering Geologist, or Geological Engineer to work in a technical support role with highly skilled professionals on diverse project teams in a dynamic environment.
$65,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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State Street Global Advisors is looking for a highly skilled Data Engineer/ Data Analyst with 3+ years’ experience to join our Portfolio Analytics Technology Solutions team. Develop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift.
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7+ years of experience as a Data Engineer, with a focus on designing and implementing data solutions on the Azure Databricks. Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect is a plus.
$120,000 - $202,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Senior Data Engineer is a key contributor in the EDA team, providing expertise in modeling data structures and designing, building, and optimizing data mappings. The Senior Data Engineer is a key contributor in the EDA team, providing expertise in modeling data structures and designing, building, and optimizing data mappings.
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Position requires a Bachelor’s degree in Finance, Computer Science, Engineering Management, or other related field plus five (5) years of experience in the job offered or five (5) years of experience as a Senior Application Support Engineer, Data Analyst, or a related occupation.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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As the Senior Oracle HCM Developer (Senior Business Systems Engineer), you will be a key contributor supporting integrated technology platforms including development, support and troubleshooting, system configuration, data integrity, testing system changes, writing, and developing reports, queries, analyzing data, and supporting enhancements, implementations, upgrades and patches.
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Join Takeda as a Lead Data Engineer RDBU where you will help shape and implement the vision across US stakeholders leveraging innovative data, digital, and technology solutions to support the Rare Disease Business Unit. Guided by modern, cloud-based technologies and applying best practices, they will closely collaborate with the DD&T and the RDBU I&A teams to deliver and maintain effective solutions and help drive adoption.
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Experience with at least 3 of the technologies/tools mentioned here: HAProxy, Kafka, Big Data/ Hadoop, Presto, Spark, Airflow, Pinot, Druid, Opensearch, Gcp, Data Proc. Experience scaling production systems running Big Data tools like Spark, Hadoop, Apache Druid, Looker.
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Yes Energy delivers real-time market data and electric power trading decision solutions. Yes Energy’s industry leading electric power trading analytics software provides real time visibility into the massive amount of data that is generated by the North American electrical grid every day.
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This entails designing and implementing a sophisticated data governance framework spanning across capabilities and tools such as data quality checks, defining/tracking KPI’s, data lineage and data structure and organization (e.g. organized data hierarchies, well-maintained data dictionary and report catalogue, as well as data and report certification.
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Develop and execute strategies that maximize the value of data science applications (e.g. in AI/ML, Computational Chemistry, and Biology). Moreover, this embedding with DSI nurtures fertile Research and Development collaborations that leverage DSI’s excellence in quantitative pharmacology, biostatistics, and big data.
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As an Analytics Engineer, you will collaborate with Product, Design, and other Engineering squads to support our client-facing Intelligence product, design new data models, and create data visualizations in Looker.
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data engineer jobs Company: Adobe in Quincy, MA
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