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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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At least 8 years of relevant data analytics experience. Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau.
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3+ years hands-on experience in analytics and/or data engineering. The Data Engineer will use software engineering best practices, follow an iterative approach with regular user feedback, and work with the agile practitioner to prioritize work and manage multiple deployments per day.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Develop new custom QuickBase applications to meet the various business needs, focusing on data capture applications with the understanding that the data will be governed and will need to eventually be consumed by a CBH reporting database layer and/or CBH Data Warehouse environment.
$80,000 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Our growing data teams are looking for a savvy Lead Data Engineer to join and help build and evolve the next generation of Audience & Identity data platform that handles data at scale and uses state-of-the-art technologies to unlock the data's business value.
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At least 2 years of experience in big data technologies. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Data Engineer. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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IBM Certified Data Architect - Big Data. Microsoft Certified: Azure Data Engineer Associate. As a Data Modeler for GES Data Management (GDM) in the GES Technology Group, you will be instrumental in shaping the data landscape for this project.
$223,990 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design and implement complex data models on Azure Synapse Analytics to support data warehousing and big data solutions. Experienced in big data and NoSQL solutions by developing scalable data processing platforms to drive high-value insights to the organization.
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This role is critical in harnessing the power of Big Data, Lakehouse, Data Virtualization, Transformation and Integration technologies to enhance our product offerings and drive business growth.
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Ability to code with scripting languages such as Python, Bash, groovy etc.,Experience with Container Orchestration platforms such as Docker, Kubernetes etc.,Experience with big data toolset: Hadoop, Spark, Kafka, Hive, sqoop etc.
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Contribute to the development of metrics and collection of data to help PHMC public health programs measure the impact of its DEI policies and procedures. Collaborate with the Director to provide support for systems and processes used in PHMC financial management and grant disbursement.
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Working closely with the business units to provide analysis, advice, and guidance as it relates to financial Market Data including financial content and analytics products. Your sense of ownership is needed as you take on responsibility for data compliance and data access honesty reporting for Refinitiv and direct relationship exchanges in Americas, managing Americas accrual inventory system including managing the accrual to allowable limits and reconciling and resolving accrual variance.
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Experience of Azure Data Lake, Azure Devops and analytics components including as Data Bricks, Data Factory, Synapse and Analysis Services. The Data Platform Manager will coordinate projects / data processes and line manage DevOps Engineer(s.
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It is changing the way Healthcare Marketing is done by leveraging latest cloud-native solutions, efficient big data pipelines, processes and technologies. We are looking for a driven and dynamic Senior Data Engineer who will have the responsibility to expand and maintain our data warehouse, develop scalable data products, and help orchestrate terabytes of data flowing through the Lasso platform.
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big data jobs Title: analytics engineer in Philadelphia, Gilford, New Hampshire
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