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The Senior IT Data Engineer is a hands-on position using a modern data engineering stack deployed within the Microsoft Azure cloud. The successful candidate will develop and support a wide variety of data engineering pipelines utilizing tools including Azure Databricks, Azure Data Factory, Azure Data Lake Store and Azure Synapse.
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The Data Engineering team is focused on building platforms and capabilities that are utilized across the organization by sales, marketing, engineering, finance, product, and operations.
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You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with Apache Spark™, and expertise in other data technologies and in public cloud - AWS, Azure, and GCP. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Platform.
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Hands-on laboratory operations such as molecular biology, shake flask, bench scale bioreactor and novel culture platforms. Experience in statistics and data analysis (e.g. JMP, Spotfire.
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BS (or MS) with 5+ years experience in a relevant scientific discipline (biology, bioengineering, chemical engineering, biochemical engineering). The company focuses primarily on antiviral drugs used in the treatment of HIV, hepatitis B, hepatitis C, and influenza, including Harvoni and Sovaldi.
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Hands-on experience working with Snowflake or Databricks. 5+ years of experience in data engineering, with a strong background in building and maintaining data pipelines and ETL processes.
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Hands-on production experience with orchestration systems such as Airflow. Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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2+ years of data engineering experience developing large data pipelines. As a member of the Data Capture team you will establish the foundational set of core platform frameworks and pipelines which are a vital key to success - enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service.
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Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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Hands-on production environment experience with distributed processing systems such as Spark. Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization.
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Hands-on experience with Azure Cloud, including Azure Data Factory and Databricks. 4-6 years of enterprise data warehouse development - preferably on SQL or Snowflake.
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This role reports into the VP, Cloud Engineering and will provide strategic direction, people management, and oversee implementation of data services developed on top of enterprise cloud data platform.
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Hands on Azure Data architecture experience. More than 10+ years of relevant experience in data engineering tools like Azure Data pipelines , Azure Data factory, Azure Data Lake Storage, Databricks.
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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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Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools. Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation.
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hands on data engineering jobs Title: architect databricks in Columbia, Missouri
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