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Metadata capture and catalog services for data lake (S3/ Athena), data warehouses (RDS/ Redshift), Microservices/ APIs. Data services layer including Athena, Redshift, RDS, microservices and APIs.
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Your role as a Data Engineer: In this role you will be responsible for designing, developing, and maintaining data pipelines in support of data management functions such as data engineering, data integration and data quality and governance activities.
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Bachelor’s degree in Computer Science, Electronic Engineering, Electrical Engineering, Information Systems Technology, or a related field and 5 years of progressive, post baccalaureate experience as Engineer III, Data Engineering or related occupation in the Big Data software development engineering.
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As an Azure Data Engineer, you will be responsible for designing, implementing, and maintaining data solutions on the Azure cloud platform. We are looking for an experienced Azure Data Engineer to join our team.
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The Senior Software Engineer position in the Data Strategy team at Guy Carpenter (“GC”) presents a chance to create and execute data products for the world's biggest and most reputable reinsurance brokerage.
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If so, our client is hiring a Data Engineer! Developer experience in big data or warehouse (Hadoop, DB2 LUW) environment. Securing data using IAM and Active Directory. 3-5 years' experience developing and deploying data pipeline in cloud.
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Role: Senior Data Engineer (Python, SQL, DWH) Minimum 5 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse.
$110,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will leverage background in remote sensing, image processing, statistical, geo-statistical and machine learning models to analyze complex imagery data to develop an scalable image processing pipeline.
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Your role as a Data Engineer-Testing: The Quality Engineer within the Markets Technology Function is responsible for overall quality assurance and testing of IT solutions. Proven ability as an AWS Cloud engineer with experience in products such as S3, RDS, Lambda, SQS, SNS, MSK Salary Range: $116500 - $200400 / year We believe in transparency at the NY Fed. This salary range reflects a variety of skills and experiences candidates may bring to the job.
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Expert knowledge of Big Data and AWS concepts (Lambda, S3, EC2, EMR, Spark) Foursquare’s flexible building blocks include technology to maximize marketing impact and drive incremental real-world engagement (Attribution, Audience, Proximity, SDK); data to deeply understand points of interest and real-world behavior patterns (Places and Visits), and tools to conduct advanced analysis, data enrichment, unification and visualization (Studio.
$124,000 - $204,250 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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SME level familiarity with Investment Banking products or subject areas from a data level: Derivatives, Finance, Cash, Loans, Commitments; Regulatory Reporting. In this role, you will work as part of a team to understand patterns of data as they apply to MUSO Banking products, develop mapping specifications for use by developers, and execute test plans to identify inconsistencies between our source systems and target warehouse objects.
$101,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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If you are a highly motivated and skilled Senior Data Engineer with a passion for big data, data engineering, and REST API development, we would love to hear from you. Role: Senior Big Data Engineer.
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Knowledge of real-time data streaming and real-time analytics Knowledge of Microsoft suite of tools is desired (Power BI, Synapse suite of analytics tools, Azure Data Factory) Strong implementation skills and working knowledge of data structures, algorithms and big data tools (Spark, Hadoop, Python, SQL, NoSQL, Hive); Must have hands-on experience using Spark.
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Data Model: Design data models that turn complex organizational data into easy to use data structures ensuring seamless flow for WESS operational, analytics and reporting needs.
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Title: data engineer Company: Messagegears in Jersey City, NJ
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