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Strong Data Engineering skills. This may involve tasks like data normalization, feature engineering, and handling missing values. Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus Prior domain experience of Life Insurance, Annuity or Financial Services is a plus AWS Certifications are considered a strong plus Excellent verbal and written communication skills.
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Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery. ETL development experience with strong SQL background, analyze huge data sets, trends and issues, and create structured outputs.
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Proven capability in data engineering or data science, with practical experience using AWS SageMaker and other industry-standard data analytics tools. Work collaboratively with application engineering, DevOps teams, and data scientists to ensure full integration and optimization of AI/ML models and Big Data processing.
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The Asset Management Quant Research Engineering team is looking for a Vice President of Data Engineering who wishes to take on the challenge of leading a team building a world-class data environment.
$124,000 - $262,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work closely with cross-functional teams including marketing, product, and engineering to drive data-driven decision-making and ensure alignment with business objectives. Driven by iconic studios, networks and streaming services, Paramount's portfolio of consumer brands includes CBS, Showtime Networks, Paramount Pictures, Nickelodeon, MTV, Comedy Central, BET, Paramount+, Pluto TV and Simon & Schuster, among others.
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Js, node, typescript, Software development, data engineering, AI, ML, KubeFlow, Kubernetes, system engineering, api development, Google Cloud Platform, azure, python, Cloud, git.
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The role requires both broad and deep architecture, engineering and strategic experience with Microsoft Azure or comparable cloud technologies; specifically, deep technical expertise in cloud-native software defined networking, cloud security, cloud platforms, SRE practices, and Azure Infrastructure as Code modules; Azure Data services, Azure DevOps Repos and Pipelines; Azure Platform as a Service (PaaS); Azure Infrastructure as a Service (IaaS) and supporting technologies.
$129,100 - $229,925 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Preferred Master's degree or higher in Data Science, Computer Science, Applied Mathematics/Statistics, or Systems Engineering. A minimum of 8+ years of related experience in data engineering, machine learning, AI, data science, and technical leadership.
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The Boeing Company is currently seeking a Data Analytics Software Engineering Manager to join the Next Product Support team located in locations: Hazelwood, MO, Oklahoma City, OK, Plano, TX. This position will focus on supporting the Boeing Global Services (BGS) business organization.
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This role will lead the Transformation functions (Enterprise Program Management Office/EPMO, Communications & Change Management, Master Data, Operational Excellence, Financial Systems, and Data & Analytics) at BHI as we undergo our critical Finance Transformation initiative.
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Experience: Expert knowledge of application/software development, QA principles, and agile methodology Experience in retirement plan administration or financial services a plus Knowledge of data pipeline testing will be a distinct advantage Ability to work effectively with product development, external teams and management Knowledge of CI/CD Pipelines.
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Bachelors or an advanced degree in GIS, environmental science, geology, geomatics engineering, geotechnical engineering, or related field with demonstrated GIS training or coursework. The Geographic Information Systems (GIS) Analyst is responsible for providing GIS services to external and/or internal clients in a shared services environment.
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Within the AWS Data Center Community, the Data Center Design Engineering team is a dynamic and collaborative group of engineers and designers dedicated to revolutionizing data center infrastructure.
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Strong experience in data engineering, including data pipeline development, ETL/ELT processes, and data modeling. From technology to product innovation, we're making our mark on the financial services industry.
$120,000 - $202,500 a yearFull-timeExpandApply NowActive JobUpdated Today
data engineering financial services jobs Title: product development Company: Dice in Bentonville, Kansas
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