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Google Dataflow/Beam or Spark, SQL, BigQuery or similar data warehouse. Interested in data engineering to develop ingestion engines, ETL pipelines, and organizing the data to expose it in a consumable format.
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Specifically, this experience must be in writing Big Data data engineering jobs for large scale data integration in AWS. Prior experience in writing Machine Learning data pipeline using Spark programming language is an added advantage.
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Partner with Data Engineering to optimize data tracking/quality and drive data warehouse improvements. You'll support the Empower Personal Wealth marketing function, specifically performance marketing and website optimization, and partner closely with peers in the product, sales analytics, data architecture, and engineering teams.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Should have prior experience in working as a Data warehouse/Big Data architect. Assist in setting up cloud services, infrastructure, frameworks to deploy the data engineering & analytics pipelines.
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Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies Hands-on expertise with SQL and SQL analyticsAbility to connect a customer’s specific business problems and Snowflake’s solutionsUniversity degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred ABOUT OUR TEAM:Our Sales Engineers are customer obsessed and we believe in the value we can add and stay honest about it.
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Requirements: Education preferred Bachelor's Degree in Computer Science, Engineering or a related Field Skills (Required) The ideal candidate will have strong organizational skills and the ability to manage a diverse workload in a fast-paced environment Strong knowledge of distributed computing, data structures, data mapping, data warehouse, data mining, business analytics, software development, replication, and distributed/relational databases.
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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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Directing Data warehouse concepts like Star Schema, Snowflake, dimension and fact tables, and how to scale these solutions for performance and resiliency for reporting; Directing IT business processes and frameworks including, but not limited to, Identity Access Management (IdAM), Enterprise Application Integration, Data Warehousing, Business Intelligence, Content Management, Reporting, Search; Protecting intellectual property, disaster recovery planning and adherence to SDLC as well as COBIT, CMMI, PMM4, and ITIL.
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Expertise in data warehouse design, ETL processes, data governance, and tools like Redshift, Snowflake, Databricks, etc. will assume responsibility for a multifaceted portfolio spanning data engineering, data science, analytics, business analytics, data architecture, and data governance.
$225,000 - $285,000 a yearFull-timeRemoteExpandUpdated 21 days ago - UpvoteDownvoteShare Job
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The role includes responsibility for all aspects of a project and people management, including:- Strong influence, persuasion, and excellent configuration and development skills to seamlessly integrate with front-end solutions (B2B e-Commerce, Apple Online Store, Point of Sale, Apple Care, and Apple Service Engineering) and other back-end solutions (SAP Retail, Data Warehouse.
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Slack is looking for a staff software engineer to join the Data Ingestion Team. As part of the Data Engineering organization, we build and operate the platform that ingests data from various sources into our Data Warehouse with both streaming and batch approaches.
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Data Engineering: You will contribute to the team by developing our next-generation data storage and telemetry pipeline that collects and ingests terabytes of data per hour into a multi-petabyte data warehouse that powers our observability systems.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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The ideal candidate will be highly detail-oriented, have technical knowledge and close familiarity with database management (AWS), query-based languages and platforms (such as SQL or BigQuery), high-level understanding of data engineering and data warehouse work.
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The Autonomous Database Team is responsible for building the cloud service framework powering various Oracle Autonomous Database cloud services, including Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP.
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Develop and maintain data warehouse, ETL, data integration and SSIS solutions. 6+ years' experience in Data Engineering role. GavinHeath is partnering with a client in Denver, CO looking to add a Senior Data Engineer to their team.
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data engineering warehouse jobs in Aurora, CO
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