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Position Overview: The QuickBase Applications Developer ensures successful implementation of QuickBase software technology within CBH for data capture, workflow management, and other internal CBH and external CBH partner applications.
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Reporting to the Manager of Data Engineering the SQL Developer is primarily responsible for developing and maintaining robust data integration pipelines between various systems such as internal OLTP databases, third-party vendor platforms, and an Enterprise Data Warehouse (EDW), scoping requirements for advanced reports, developing metrics and dashboards, and making recommendations for process improvement based on analysis of historical data.
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Summary: The Senior Data Warehouse Developer will oversee building data warehouse solutions and providing technical leadership within the Data Analytics team. The Senior Developer – Data Warehouse encompasses a diverse array of responsibilities spanning data engineering, architecture, and data warehouse design.
$102,809 - $133,652 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Susquehanna brings together the brightest minds, the best technology, and an expansive library of data to design and implement quantitative trading strategies that make us leaders in the financial markets.
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2+ years of experience with DevOps practices, containerization, and orchestration tools, including expertise in CI/CD pipelines, Docker, and Kubernetes •2+ years of experience in writing data processing pipelines using SQL, Spark, and Kafka •Proficient in Machine Learning Operations (MLOps) processes and associated technical concerns.
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Solid, practical knowledge of Java Eco System: Java, Spring, Spring Boot, Spring Data, Hibernate, REST, Maven or Gradle. Experience with Front-End technologies: Typescript, Javascript, Angular and/or React, jQuery, Bootstrap, HTML5, CSS3, storybook.
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The Senior Software Engineer – Business Intelligence Developer designs and develops reporting assets utilizing the enterprise data warehouse and business intelligence tools to provide consistent, reliable, and automated delivery to the end user.
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Integrate AWS Services such as Lambda, DynamoDB, EC2, RDS, S3, Athena, Data pipeline, API gateway, Glue, EMR etc. Work closely with Data and Analytics team to build Data Lake using various AWS services like EMR, S3, DynamoDB, Lambda etc., Apache Airflow, PySpark, and HIVE.
$56.33 - $61.33 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are currently seeking a ADF (Azure Data Factory) Developer - King of Prussia, PA to join our team in King of Prussia, Pennsylvania (US-PA), United States (US). Minimum 5 years of Creation of data transformations using Azure Data Factory, Synapse Analytics, Databricks.
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Connect to various data sources, including AWS Glue Catalog and Dremio, import, and transform data for Business Intelligence. Ensure data integrity and consistency across different systems.
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Work with the database analyst/administrator and data modeling team to develop a data model appropriate for the application. The Application Developer is responsible for understanding the requirements of the business units and supporting the project and support teams by developing technical systems based on those requirements.
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And building external mature software products that rely on big data and meet data security and regulatory requirements. reusable services, build software to expose data science models to business users through responsive UIs, and support a culture of.
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Should be familiar with Sagemaker- They are just provisioning sagemaker so they should be familiar with it and how it works, not necessarily hands on in the same sense that a data engineer would be.
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NET, WPF, Angular and complex event processing softwareWork on projects that require deep knowledge of C# and the ability to deliver custom complex logic applied over large volumes of data in a performant mannerWhat you can expect from us:Real Impact: By integrating sophisticated coding techniques with innovative engineering ideas, we design and optimize systems that can process massive amounts of data while still ensuring high performance and stability.
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Experience building Spark data processing applications (Python, Pyspark). Collects data to support assessment of IT service performance and ROI (Return On Investment). You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list.
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data job Title: developer in Wayne, PA
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