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As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting. Being a domain expert on data modeling, data pipelines, data quality and data warehousing of financial data.
$120,000 - $162,500 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Demonstrated experience building data pipelines with PySpark and AWS. Application development experience in financial services with hands on designing, developing, and deploying complex applications.
$75,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands on Data Engineering Manager. As a Hands-On Engineering Manager, you will play a pivotal role in leading our small but highly skilled engineering team to drive technological innovation and support our rapid growth trajectory.
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Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions. Application development experience in financial services with hands on designing, developing, and deploying complex applications.
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Hands on experience with establishing data strategies and data transformation implementations with in a fast paced, dynamically growing sector in the industry. 3+ years of development experience in technology and/or data functions in financial services or consulting industry.
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The Data Engineering Manager will support our data initiatives and will ensure an optimal data delivery architecture that is consistent throughout ongoing projects. Data Engineering Manager.
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Contract Sr. No Skill Technical Area Must Have/Good to have Proficiency Rating (1 to 5) 1 Clienture Synapse Analytics/Clienture data Factory (ADF) - Hands on Experience in Clienture Synapse Analytics, Clienture Data Factory and Data Bricks, Clienture Storage, Clienture Key Vault, SQL Pools CI/CD Pipeline Designing and other Clienture services like functions, logic apps.
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Job Title: Hands-On Engineering Manager Location: Newton, MA About Us: My client is a rapidly growing eCommerce beverage distribution company that achieved $200 million in revenue last They are at the forefront of revolutionizing the beverage industry by providing exceptional service and innovative solutions.
$190,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on development experience with Design and Architecture of big data frameworks/tools: Azure Data Lake, Snowflake, Azure Data Bricks. Expert in Azure cloud computing, specializing in Azure data engineering stacks like ADF (Azure Data Factory), ADLS, Event Hubs, Snowflake, Databricks, streaming, Azure PowerShell, and Log Analytics.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Hands-on experience in Infrastructure-as-Code and Configuration management tools and technologies: Terraform, Kubernetes, and Docker. Instilling Trust: Integrate DevOps/SRE practices on the data team by solving for performance, monitoring, and alerting.
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Proficient in Power BI Desktop, with extensive hands-on experience in creating and deploying Power BI reports, analytics, and dashboard solutions, covering design, development, deployment, data engineering, and data management projects and practices.
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Responsible for advancing our data engineering capabilities, ensuring data quality, and contributing to the success of data-driven initiatives. Solid understanding of Snowflake computing, including its integration with Azure Data Lake, utilizing ADLS as a source for data processing.
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Primarily entails hands on technical product design and deployment specifically for building and managing SIEM & data platforms like Splunk Enterprise, Splunk Enterprise Security, Databricks and Cribl.
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Job Description: Director, Quant Data Engineering The Role 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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Bachelor’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, or a closely related field and three (3) years of experience as a Senior IT Data Analyst (or full stack engineering or closely related occupation) performing data analysis and modeling using SQL, PL/SQL, and Python in a financial and brokerage services domain.
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data engineering financial services hands on jobs Company: Dice in Malden, MA
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