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Hands-on production experience with orchestration systems such as Airflow. 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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Hands-on experience with orchestration technologies such as Airflow. comAbout the PositionFoursquare is looking for a highly skilled Senior Data engineer to join our team! Working knowledge of open table formats such as Delta, Iceberg or Hudi. Experience working with data warehousing solutions such as Snowflake or Redshift.
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The ideal candidate has extensive, hands-on experience with Snowflake or similar cloud-based data warehousing solutions. Job descriptionHireArt is helping our client find a Sr Data Engineer, Snowflake to develop, maintain, and support data models, reporting systems, data automation systems, dashboards, and performance metrics to support key business decisions.
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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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The role will require the ability to flex between technical engineering of the platform and hands on working knowledge creating data science applications as a user of the platform. ROLE SUMMARYPfizer’s Director – Team Lead, Data Science Platform Engineer leads the transformation of Pfizer into a digital powerhouse that will generate patient superior experiences which results in better health outcomes.
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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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Has Experience with Predictive Modeling: Has hands-on experience developing and implementing predictive models, using data to forecast trends, identify opportunities, and support strategic decision-making.
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Role: Lead Data Engineer. Hands-on Programming experience in Python and SQL. Experience in GCP Technology such as BigQuery, DataFlow, Data Fusion, PubSub. Experience with ETL/ELT Tools, pipelines and frameworks for data integration and transformation.
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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. The RoleTalented individuals launch their careers in the enterprise software world by joining the 12-month Orbit Program as an Associate Value Engineer with a 2-year commitment to an Orbit Hub. Your role will be aligned with a specific industry within the North American market.
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Extensive hands-on experience with AWS ecosystem data services, including tools like DBT, Airbyte, Airflow, and AWS Glue, for data modeling, pipeline development, performance optimization, and ensuring data provenance.
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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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Hands-on expertise in ETL/Data pipeline and data lake platforms like Spark/Hadoop/Databricks/EMR. Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud, with hands-on experience in migrating on-premises data warehouses to the cloud.
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Hands-on experience with data warehousing solutions, for E.g. Snowflake or similar platforms. This role requires a hands-on approach to managing the end-to-end data lifecycle, Analyze complex and large datasets to provide insights that drive business decisions and optimize processes.
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hands job Title: data engineer in New York, Amarillo, Texas
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