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The Development Coordinator will support BBBSLA's overall financial growth through data management and record-keeping, gift processing, the maintenance of fundraising technologies, the implementation of email and direct mail campaigns, and general administrative support for the Fund Development Department.
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Strengthen the Data engineering team with Big Data solutions running on Azure. Strengthen the Data engineering team with Big Data solutions. Establish DevOps processes for marshalling big data work products from development to production.
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The laboratory focuses on using big data approaches to neuroimaging and genetics, using behavioral and non-invasive MRIs to examine brain-behavior relationships after stroke. Technical knowledge of neuroimaging and brain anatomy, experience with organizing, maintaining, and analyzing large brain imaging datasets, programming expertise with python, Bash and parallel computing, experience with Brain Imaging Data Standards (BIDS) and MRI—based neuroimaging software programs (e.g., FreeSurfer, ITKSna) and statistics/machine learning strongly preferred.
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Bachelor’s degree in Business, Marketing, Data Science, Statistics, Economics, or other relevant field. Fandango seeks an experienced, talented, and passionate Data Analyst to join our growing Analytics team.
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Who You’ll Work With The Data and Systems Architect reports to the Director, Data & Systems and is supported by a team of technology professionals, along with external stakeholders, consultants, our data manager, and our business partner, Southern California Edison (SCE.
$153,885 - $221,594 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Your work will directly impact our ability to harness data-driven insights, enabling us to deliver exceptional content to our global audience and stay at the forefront of the media and entertainment industry.
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Manage data transitions and platform migrations between SAP HANA/DataBricks, Tableau/PowerBI, and related ETL processes. Proficient in data platforms/systems (such as SQL, Databricks), ETL tools (such as Python, SnapLogic), process automation, and standardization.
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High familiarity with data platforms and applications such as: Databricks, Jupyter, Snowflake, Redshift, Airflow. Job Summary: About the Role & TeamDisney’s Direct to Consumer (DTC) team oversees the Hulu and Disney+ streaming businesses within the Disney Entertainment segment, helping to bring The Walt Disney Company’s best-in-class storytelling to fans and families everywhere.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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As an Systems Integration Engineer, you will play a critical role in optimizing and streamlining our organization's business processes by managing and enhancing the integration and data flow within our ERP (Enterprise Resource Planning), MES (Manufacturing Execution System), PLM (Product Lifecycle Management), QMS (Quality Management System), and WMS (Warehouse Management System) systems.
$100,000 - $125,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Preferred: 2+ years of experience with a modern data stack (Databricks, Kafka, Spark, Airflow, real-time databases) and cloud data warehouses such as RedShift and Snowflake. The ideal candidate for this role will have a background in building large-scale, data-intensive applications with SQL and NoSQL, high-throughput and responsive internal and external APIs for data products, and experience in user experience design.
$185,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Data Engineering - Databricks - ETL / ELT - PySpark, spark SQL. Experience with RDBMS platforms (One/Many of MSSQL, Oracle, Postgres, etc.) Data Engineering - Databricks - PySpark. Cloud deployments - writing CI/CI pipelines, terraform a big plus (or platform-specific cloud IAC w/willingness to learn Terraform.
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Understand the big picture, know the collaborators, including multi-cultural stakeholders, leverage partnerships, and effectively deliver and integrate new live entertainment experiences into our International Parks and Resorts.
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LANES uses the Mirth technology, AWS cloud and Google Big Query and FHIR, to link healthcare organizations and to maintain the core technology infrastructure of the Health Information Organization.
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big data jobs Title: developer Company: Walt Disney in Los Angeles, CA
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