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Build tools and models for our data warehouse that increase data quality and development efficiency. We’re looking for a Data Engineer to help us maintain the foundation of our data warehouse and create an opinionated structure to our data model that can set the standard for our embedded analysts to expand.
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Our data warehouse is built using tools like BigQuery, Airflow, and dbt. The Data Trust and Quality group is a Data Engineering team that focuses on maintaining our analytics tools and developing solutions to our data pipeline integrity and efficiency.
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Experience with machine learning algorithms and AI, including the use of frameworks to apply predictive models and advanced analytics within data engineering projects. We are looking for a seasoned Senior Data Engineer to lead the development of a state-of-the-art data warehouse for Archer from the ground up.
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You will leverage your ability to design, build and deploy data solutions using cloud based compute and warehouse tools that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
$105 - $173Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Incorporate core data management competencies including data governance, data security and data quality. Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
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Qventus is on a mission to take modern technologies and principles proven in other industries — artificial intelligence, machine learning, behavioral science, and data science — and apply them to simplify healthcare operations.
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Experience building and maintaining robust and efficient backend data systems with functional proficiency with AWS cloud services & modern data warehouse services (Snowflake) Improve the data quality and transparency of the pipelines (defining data requirements, identifying and implementing data observability tooling - lineage, sources, transformations.
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Athena is a machine learning platform committed to providing high-quality, data-driven risk decisioning. Athena Platform Services (APS) is looking for a talented Software Data Engineer to play a meaningful role in building data services and platforms that run machine learning analytics to prevent fraud, waste and abuse across Apple.
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Implement data migration, data integrity, data quality, metadata management, and data security functions, and apply advanced techniques such as machine learning to optimize data pipelines.
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Display a proficiency in the application of machine learning in engineering design process, use of predictive modeling in engineering and manufacturing process, creation and maintenance of data warehouse, business intelligence initiatives and asset diagnostic algorithms.
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Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation.
$129,000 - $135,600 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Minimum of 5 years’ experience working with Microsoft BI Tools including Azure Data Lake, Azure Data Lake Analytics, Azure SQL Database, Data Bricks and Azure SQL Data warehouse and Azure Data Factory.
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Practical hands on experience with:building large-scale, high complexity metrics and monitoringELK, DBT, Snowflake, AWS, Terraform, Looker, Ansible experienceExperience building and maintaining robust and efficient backend data systems with functional proficiency with AWS cloud services & modern data warehouse services (Snowflake.
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