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We are looking for a Senior Data Engineer to help us continue to build the next evolution of our data platform in a scalable, performant, and customer-centric architecture. Primary responsibilities for a Senior Data Engineer.
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MS SQL Server, SAS, MS Access, Tableau, Alteryx, MS Access, MySQL, Oracle, Snowflake or Teradata) is desirable but not required. Healthcare Analytics Practice (HAP)– Our core strength is the ability to harness and analyze large amounts of electronic healthcare data and turn it into meaningful and insightful information.
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Expertise in SQL Server Management, Azure Data Factory Development, Databricks Engineering, Delta Parquet File Management, and SQL Server Integration Services. Develop and optimize Databricks notebooks for big data processing and analytics in Azure Databricks environments.
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We are looking for a Senior Data engineer. You Have: 3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads.
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We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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Your Impact Provide oversight with collecting, compiling, and analyzing data from the physical work site, surveys, blueprints, GIS data, subsurface utility information, maps, hydrologic analysis, geotechnical data, and other matrices for project development, design, and construction.
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Build and refine Stripe's data foundations - infrastructure, pipelines, and tools to enable Growth, Sales, and Marketing teams at Stripe - working with Scala, Spark, and Airflow. Prior experience with writing and debugging data pipelines using a distributed data framework (Spark / Hadoop / Pig etc.
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Machine Learning Engineer – Work From HomeWe are seeking a talented and self-motivated Machine Learning Engineer to join the growing data science efforts. The ideal candidate will be responsible for designing, developing, and enhancing the Python data science tools and frameworks.
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You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
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Propose new database architecture and support data migration from an existing Legacy system to a new structure ● Create source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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Familiarity with modern ETL integration solutions (SSIS, Ab Initio, Datastage, Informatica, Azure Data Factory). Experience with Cloud data warehouse technologies (Azure Data Warehouse, Amazon Redshift, Snowflake.
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As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Lead Data Engineer. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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The Facility Engineer leads the energy utility (electric, natural gas, steam, domestic water) management including procurement planning, consumption tracking, benchmarking, budgeting, energy efficiency, greenhouse gas emissions & carbon footprint data, and reporting.
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Consults with Resident Engineer on work progress and construction problems, proactively recommends solutions, assists in the resolution of issues, and acts as a liaison with the engineer of record.
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teradata data engineer jobs in Chicago, IL
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