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Design and implement ETL processes for data transactions related to Enterprise Data Warehouse, Operational Data Store (ODS), and other data structures to support our Business Intelligence operations.
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Your Success ProfileWhat You Will Work On Refine the vision and strategy for our core Data/ML platform, inclusive of data ingestion, processing and serving, pipelines, data governance and security compliances, data analytics and visualization tooling, feature stores and data warehouse that powers our various teams for experimentation, operational excellence, and high resolution insights.
$190 - $218 a yearExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Understanding of database internals, large-scale data processing, and data warehouse design. Database Query Engine (QA), Automation Infrastructure and Quality Engineering (AIQ), Cloud Platform & Deployment Engineering, Developer Productivity Engineering (DPE.
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Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions.
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Experience as a data scientist or developer with Fusion Analytics Warehouse (FAW), Autonomous Data Warehouse (ADW), Oracle Analytics Cloud (OAC) or Oracle Data Integrator (ODI) are must-have requirements.
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2-3 years of experience as a SQL developer/Data Warehouse/BI Developer. The Business Intelligence (BI) analyst / developer will architect, develop, and provide operational support skills to deliver and maintain business intelligence, data warehousing, reporting, and visualization solutions for a wide range of business functions and user communities.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Required Coursework: Algorithms, Data Structures, Operating Systems, Knowledge of data structures and algorithms. Build the future of data. Experience with DevOps (Jenkins, Ansible, Terraform) and Containerization (Kuberneters, Docker) a plus.
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Experience working with cloud infrastructure, AWS, Azure, and/or Google Cloud Platform in particular. Experience building automation frameworks and infrastructure to improve efficient of development workflow.
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Stuff that matters: treated as a member of the Snowflake team, included in company meetings/activities, flexible hours, casual dress code, accommodations to work from home, swag and much more. When return to office in effect, catered lunches, access to gaming consoles, recreational games, happy hours, company outings, and more.
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Responsibilities:Work as part of a team to develop Cloud Data and Analytics solutionsParticipate in development of cloud data warehouses, data as a service, business intelligence solutionsAbility to provide solutions that are forward-thinking in data and analytics'Deliver a quality product, Coding complex U-SQL, Spark (Scala or Python), T-SQLDeveloping Modern Data Warehouse solutions using zure Stack ( zure Data Lake, zure Data Factory, zure Databricks.
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Strong in data structure, ETL, data warehouse, and related data engineering technologies. 6+ years of experience in software engineering, and 2+ years in data engineering.
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Ability to design, develop, and test ETL solutions, including modeling data warehouse metadata and automating data loading processes. Ability to design, develop, and migrate data analytics solutions by sourcing data from SAP ECC, S/4 HANA, and SAP Data archival systems.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Establishes and maintains strong knowledge of data warehouse database design, data definitions, system capabilities, related programming languages, and data integrity issues.
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DepartmentManaged Care AdministrationJob SummaryUnder minimal supervision, the Data Warehouse / Business Intelligence Developer participates in the systems development life cycle for new development, enhancements and maintenance projects in a Data Warehouse / Advanced Analytics Environment, works closely with business leaders, end users and other technical resources to design and implement data and analytic solutions to enhance the business decision making process.
$95,366 - $143,049 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Tooling and infrastructure automation for engineering productivity. Desired majors: Computer Science, Physics, Math, or related field. Desired class level: 3rd/4th year Undergraduates, Masters, or PhD.
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