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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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As a Python Data Engineer in the Data Team, you will be responsible for maintaining and extending our data warehouse and data pipelines. The data engineer who fills this role will be responsible for maintaining the current infrastructure and adding to it/scaling it up as needed.
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What you’ll bring to Circle:For Senior Data Engineer (III)4+ years of professional data engineering experience. For Staff Data Engineer (IV)All the requirements of above and:7+ years of professional data engineering experience.
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Proven work experience as a Data Analyst, Data Engineer , Database Developer, Data Architect, Business Analyst or similar role. Data Analyst will be responsible for creation of descriptive, diagnostic, predictive and prescriptive data analysis.
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As a Senior Lead Engineer in Finance tech you will be responsible for working collaboratively across Finance, Capital One Lines of Business and Enterprise Functions to develop patterns, playbooks and tools to support standards, create and review target data models in support of Finance and Enterprise goals.
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Experienced with open source big data processing technologies such as Airflow, Hive, Flink, Spark, Kafka, Storm, etcKnowledgeable with Data Science tools and frameworks. Contribute to the overall architecture and design of healthcare monitoring applications, providing valuable input on data processing and data governance.
$140,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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We are seeking a Databricks Data Engineer. About the job Databricks Data Engineer. Deep understanding of one or more of the big data computing technologies such as Databricks, snowflake.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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The Hartford's Global Specialty IT team is seeking a hands-on Senior Staff Data Engineer to enhance and support its Data assets on snowflake and SQL server platform. The Senior Staff Data Engineer will be proficient with data platform architecture, design, data curation, multi-dimensional models, strong understanding of data architecture, principles of ETL and Data Warehousing.
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The Data Engineer builds pipelines that are used to transport date from a data source to a data warehouse. A Data Engineer also interfaces with other technology teams to extract, transform, and load (ETL) data from a wide variety of data sources.
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AWS is looking for a Sr. Controls Engineer to become part of a mechanical solutions engineer team, responsible for the design and continuous innovation within our rapidly expanding data center foot print.
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POWER Engineers, Inc. is seeking a SCADA and Automation Engineer. Data Acquisition: Prepare points lists of all data to be transferred between control centers and controlled apparatus, assign and program data addressing and routing information, develop Human Machine Interface (HMI) screens, travel to project sites to test and commission data transfer schemes.
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As a data engineer, you have experience spanning traditional DW and ETL architectures and big data ecosystems like Databricks / Snowflake / EMR / Airflow. Dropbox is looking for a Data Engineer to join our Finance Data Engineering (FDE) team to build out next generation Financial data pipelines that power crucial business decisions throughout the organization including metrics (ARR, Churn) that are reported externally to Wall St. The team is responsible for curating Gold Datasets (user, team, product etc) that are the source of truth for analytics and operations at Dropbox.
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This candidate must be well versed in Desktop / Server Windows Operating System Configuration methods including Standalone Physical / Virtualized Environments, Image management, Support of LAN / WAN networks, Email Systems (Exchange, Office 365 Cloud, and Others), SCCM, Disaster Recovery methods, Business Continuity Planning, Market Data/ Business application Support, and Troubleshooting.
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Data Migration, Integration, API’s development, Data Streaming ( Batch and continuous) and scheduling. Design and implement Data Migration and Data Integration across cloud and hybrid environments.
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