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Build new data acquisition and transformation pipelines using big data and cloud technologies. Experience in maintaining and developing software in production utilizing cloud-based tooling (GCP, Docker & Kubernetes, Okta)Experience in BigQuery, Snowflake, Databricks will be a big plus.
$77,400 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with big data technologies: Apache Spark, Apache Kafka, AWS Kinesis, AWS Redshift. Strong understanding of data quality best practices and data governance principles.
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Graduate-level degree in computer science, engineering, or relevant work experience Preferred: Understanding of ML frameworks (sklearn, TensorFlow, PyTorch, etc) Experience working with big data platforms (Hadoop, Redshift, Snowflake, etc) Architecture, design patterns, production scaling/optimization Insurance industry experience Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No.
$132,500 - $197,500ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Enable functionality to support analysis, model optimization, statistical testing, model versioning, deployment and monitoring of model and data.
$124,372.5 - $247,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Configure, maintain, and support collaboration platforms such as Zoom, O365 and integrations, Teams, OneDrive, Adobe and Box. Additional experience with migrating data from Box to other collaboration platforms such as OneDrive a big plus.
$48 - $60 an hourExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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4 to 6 years of work experience in Big Data Technologies such as Spark, Databricks or Hadoop. Skills: Data Analyst/ Engineer, Python, SQL, Tableau, Snowflake, Scala, Spark, AWS (S3, DynamoDB , ECS, Fargate), Databricks, API.
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Experience with big data systems in production: eg, Spark, Pinot, Presto. Successful individuals on our team tend to operate with autonomy and alacrity, have strong customer empathy, and an ability to drive outcomes across the entire engineering stack from data ingestion through modeling and into production.
$135,150 - $278,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka; a Linux environment; (AWS). Knowledge of data pipeline and workflow management tools.
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RESTAPI and servicesWorking knowledge of message queuing, stream processing, and highly scalable ‘big data’ data storesExperience supporting and working with multi -functional teams in a dynamic environment Preferred Qualifications Degree /Masters/PHD in Computer Science, Computer Engineering, EE, EEE, Statistics, Math, Industrial Engineering, Operational Research, Physics, or related fields.
$110,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience with Microsoft Big Data solutions with experience in SQL Server (2017 or higher), Azure SQL technologies (Azure Data Lake Gen2, Azure Databricks, Azure Databricks Unity Catalog, Databricks API, Databricks Row-level security, Databricks error logging, Azure SQL Server, and Azure Analysis Services), and a broad experience with related tools (CDC, Columnstore Index, In-memory Table, SSAS Tabular, DAX, T-SQL, SSIS.
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Develop and implement a cloud architecture for intelligent charging control of EVs. Perform evaluation of prototype, using EVs or real world big data of EVs. Work closely with other experts in Data Science, Optimization, Energy Systems, and Business to realize future service concepts of EVs.
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The Analytics Experience team, which is part of the Artificial Intelligence, Data and Advanced Analytics (AIDA) organization is responsible for the creating a seamless experience for analytics experts to harness the potential of big data, machine learning, and interactive analytics through a unified platform across the enterprise – from scientific/clinical to commercial across all Pfizer geographies.
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We are seeking Back End Software Engineers who are passionate about processing big data with emerging technologies and creating low latency microservices that drive our products. Our team is in the process of transforming our products to leverage the next generation of data streaming to drive processing and provide continuous services using the most sophisticated cloud services available.
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Utilize AWS cloud services such as EMR, Redshift, and Spark to build and optimize big data solutions. Expertise in Python and big data technologies such as Apache Spark. We are looking for a Senior Data Engineer to play a key role in scaling out our enterprise payment processing system.
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big data jobs Title: engineer in New York, Lexington, Massachusetts
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