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Hands-on production experience with orchestration systems such as Airflow. Hands-on production environment experience with distributed processing systems such as Spark. The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Hands-on development experience with Snowflake features such as Snow SQL; Snow Pipe; Python; Tasks; Streams; Time travel; Zero Copy Cloning; Optimizer; Metadata Manager; data sharing; and stored procedures.
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Innova Solutions is immediately hiring for a Data Engineer Position type: Contract Duration: 6 mos Location: On-site Downtown Manhattan As a(n) Data Engineer you will: Data Engineer position with expertise in Python ETL and Azure experience.
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On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future.
$199,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with orchestration technologies such as Airflow. Industry Leading Healthcare - comprehensive and competitive health, vision, dental, life insuranceSavings and Investments - 401(k) with company matchEquipment Setup - you will receive all necessary hardware for your job functionFamily Planning and Fertility Programs - programs via Carrot Employee Resource Groups - to help you stay connectedHybrid Work Schedule for in-person collaboration on Tuesdays, Wednesdays, and Thursdays beginning April 1, 2024.
$204,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate has extensive, hands-on experience with Snowflake or similar cloud-based data warehousing solutions. In this role, you will work closely with the Tableau developer to enhance and provide data architecture enhancements based on Tableau dashboarding needs.
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Expert-level professional hands-on experience in extensible data pipeline development and orchestration with tools like Apache Airflow, Step Functions, etc. Expert-level professional hands-on experience with data warehousing/RDBMS, ETL scripting tools and IDEs, data pipeline development, and management using orchestration/monitoring tools.
$248,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expert-level professional hands-on experience in extensible data pipeline development using Databricks, Alteryx, AWS Glue and Lambda functions. Expert-level professional hands-on experience with RDBMS, ETL scripting tools and IDEs, data pipeline development, and management using orchestration/monitoring tools.
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Years of hands-on experience with HTML, CSS, Bootstrap, JavaScript, jQuery, React, as well as data modeling languages such as XML, YAML and JSON. + years of hands-on experience with Microsoft Azure Cloud development and deployment especially in Kubernetes orchestration with AKS, Microservices, Web Application, Batch Application, Functions, Message Bus integration, MS SQL & Other blueprints.
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Hands-on experience in at least one of the following technologies: SQL, R, Microsoft Power BI, Tableau, Python, or another data analytics software/programming language. Your journey will start with onboarding and enablement, further refining your business skills through a combination of hands-on experience in customer engagements and training.
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Azure Experience: The candidate should have hands-on experience working with the Microsoft Azure cloud platform. This is a Data Engineer position which requires expertise in Python ETL and Azure experience.
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You want to work in a fast, high-growth startup environment that respects its engineers and customersYou can design simple and performant architecture to solve problems at high scaleBonus Point: You have hands-on engineering experience with at least one of the major cloud providers – AWS, Azure, GCPDatadog values people from all walks of life.
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Expertise: Advanced knowledge of AWS, Redshift, and Snowflake platforms, with hands-on experience in cloud environments. Optimize: Implement data models and structures on platforms like Redshift and Snowflake, fine-tuning pipelines for performance, reliability, and scalability in a cloud environment such as AWS.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Hands-on experience with big data operations including, but not limited-to- AWS S3, AWS DMS, AWS SQS, Luigi, AWS EKS, Apache Spark, AWS Glue. Hands-on programming and scripting (Lambda, API GW, Python, Java, Bash.
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hands on jobs Title: data engineer in New York, KS, Missouri
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