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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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Experience in one of the public cloud providers – GCP, Azure, AWS.Experience with relational SQL and NoSQL databases, including Postgres and MongoDB.Experience with workflow management tools: Airflow, AWS data pipeline, Google Cloud Composer, etc.
$77,400 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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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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Senior Data Engineer to help the design/build of the enterprise data platforms. Metadata capture and catalog services for data lake (S3/ Athena), data warehouses (RDS/ Redshift), Microservices/ APIs.
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Including hands on experience with productionized data ingestion and processing pipelines using T-SQL, SSIS, Python, Data bricks, Snow SQL. Minimum 5 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse.
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We are looking for a Cloud Data Engineer, who will be responsible to plan, design, develop and maintain the data architecture, data models, data pipelines and standards for various Data Integration & Data Lake and Data Warehouse projects in the AWS Cloud.
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As a Lead Data Engineer at Ratings division, you will be responsible for. Hands-on experience in developing scalable data pipeline using technologies like Kafka, Databricks, Spark and Scala applying ETL and ELT concepts.
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Title: Sr. Data Engineer. Data Flow, ETL, AWS GLUE, Athena Redshift, Some EKS, Databricks, Data Pipeline building. Expert-level professional hands-on experience in extensible data pipeline development using Databricks, Alteryx, AWS Glue and Lambda functions.
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SSIS strongly preferredPython DBT, Mulesoft, Alation – good to havePrimary Responsibilities:Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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If so, our client is hiring a Sr. Data Engineer! Senior Data Engineer. Data services layer including Athena, Redshift, RDS, microservices and APIs. Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift.
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The EDC Engineer will work with Data Management and Standards teams to implement new processes as well as enhance existing processes for efficiencies and compliance with Takeda Clinical trial builds.
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The Asset Management Quant Research Engineering team is looking for a Vice President of Data Engineering who wishes to take on the challenge of building a world-class data operation. 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.
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Fortran; Experience with version control systems such as git Travel Required: <1% Implement software design as developed through collaboration with senior software engineers and the software architecture group, including interpretation of high-level requirements Use software engineer tools such as compilers, IDEs, docker, etc.
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Title: data engineer Company: Stand Technology Services in Jersey City, NJ
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