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Familiarity with data engineering tools and practices, such as ETL processes, data modeling, and data pipeline management. In this role as a Business Analyst with an added focus on data engineering, you will assist in developing, deploying, and supporting various Digital Foundation (DF) initiatives and Smart Manufacturing applications.
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Data engineering skills in one or more ETL tools (DBT preferred). 5+ years as a Data or ETL Engineer with 2+ years experience developing data on Snowflake and/or DBT or similar.
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1 or more years of experience with batch data processing with ETL tools such as Databricks ETL. Are you an innovative and collaborative technology professional with more than 2 years of enterprise level data engineering experience.
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Stay Ahead of Industry Trends: Constantly stay abreast of the latest trends in Databricks and data engineering, and proactively recommend improvements in processes and technologies to keep the organization at the forefront of the field.
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Undergraduate degree with 10+ years of Data Engineering experience with specific ETL Tools (e.g., DBT, Informatica, Data Stage, etc.) Bachelor of Engineering degree with 5-10+ years of Data Engineering experience with pertinent ETL tools (e.g., DBT, Informatica, Data Stage, etc.
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At least 1-2 years building production-grade data solutions (Example: ETL/ELT, Spark, Azure Data Factory, AWS Data Migration Services, streaming systems) You will work with tools/platforms like Kafka, Snowflake, and Databricks to help clients get the most out of their data that may be in systems like Salesforce, SAP, SQL Server, or file storage.
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Our data engineering tech stack is primarily AWS running Spark/Scala within Databricks. The Data Engineering Manager is responsible for managing, coaching and mentoring a team of data engineers that will build data pipelines and data warehouse solutions to support business analytics.
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The Director of Data Engineering will also partner with the broader OAS Analytics organization to harness the power of client data to facilitate analytical insight and will be responsible for building quality and efficiency into every project.
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Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. Four years of data engineering or equivalent experience.
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Advanced understanding of design workflow, Engineering / Procurement / Construction (EPC) lifecycle, data management practices, database technologies, project data lifecycles and domains.
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Experience with software and practices for geotechnical engineering, GPR and/or FWD data collection, management, analysis, and reporting. Braun Intertec is seeking a Geotechnical/Pavement Engineer to support our pavement and transportation engineering services in our Upper Midwest service area.
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Informix Database / System Administrator - Remote. Develop a detailed work plan including dependencies for Informix database upgrade and data migration. Determine Informix data migration approach and strategy.
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Experience using data warehouse ETL or analytic tools, intermediate SQL, data modeling, and data visualization tools. Help identify valuable data sources and automate related tasks (ETL, reporting, etc.
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Barr is seeking a mechanical technician/designer to work on mechanical engineering projects involving data collection, planning, problem solving, design, and construction assistance. 5+ years of related work experience at a consulting engineering firm or industrial workplace.
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Knowledge of data engineering concepts, data modeling, and ETL processes. Stay updated with industry trends and advancements in data engineering, IOT, BIM, geospatial, imagery, and text data technologies, and evaluate their applicability to enhance data engineering processes and capabilities.
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