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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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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. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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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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Work with modern data and cloud technologies, including dbt Cloud, Airflow, Terraform, GitHub Actions, and BigQuery. As part of the Product, Data & Engineering team, you will operationalize our data strategy, ensure quality and accuracy of data and data models, reporting & downstream data products, and create and manage AI/ML operations such as model development and training, model validation and deployment.
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IBM Certified Data Architect - Big Data. 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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At least 2 years of experience in big data technologies. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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3+ years of experience with data applications and tools (Snowflake, Databricks, Spark, EMR, Presto, Datadog, DBT, etc.) We power the technology, data enablement, and convergent marketplaces required to ensure buyers and sellers can transact across all screens, across all data types, and all sales channels to ensure results for marketers.
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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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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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Configuration of data management, visualisation, and analytical platforms in support of DnA service delivery including Azure Databricks / Delta Lake and Synapse, SQLServer, Analysis Services / PowerBI. Put in place automated processes to reduce effort for colleagues in setup and maintenance of data platforms.
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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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Strong proficiency in computational biology, including genomics, transcriptomics, and proteomics data analysis. Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data.
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big data jobs Company: Anywhere Real Estate in Philadelphia, Gilford, New Hampshire
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