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Work with a team with respect to discovery, design and delivery of data models, data governance models, data migration plans, data warehouse design and reporting components of applications using GCP, Databricks and Microsoft tools.
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The Data Warehouse Architect role involves strategically designing and implementing data warehouses, data marts, and data stores as well as requisite ETL (Extract, Transform, Load) and visualization (reporting) development while ensuring high levels of data availability.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake, Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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Hands-on experience in implementing Data Lake/Data Warehouse with technologies like – Databricks, Azure Synapse Analytics, SQL Database, AWS Lake formation. Design, Architect, Deploy, and maintain solutions on AWS and Databricks to provide secure and governed access to data for data scientist, data analysts and business users.
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Minimum of 10 years of experience in big data, database and data warehouse architecture and delivery. Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, Autoscaling, CloudFormation, Lake Formation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, CloudTrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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Proficient working experience in data collection (e.g., API, web scraping), data processing, data modeling, data integration (e.g., end-to-end ETL pipelines), and database / data warehouse management (e.g., with Databricks / Snowflake.
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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry’s business.
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Experience selling one or more of the following: Analytics, Back Office Solutions, Data Governance, Data Management, Data Warehouse, EOD Reporting, Front Office Solutions, Managed Services, Middle Office Solutions, Order Management (OMS), Portfolio Management (PMS), Reconciliation, Regulatory Solution, Reporting, Trade Management, Treasury.
$80,000 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You'll develop and scale ingestion infrastructure, optimize our ETLs, and design our data architecture for scale, with a keen eye for data warehouse management and tooling. Build and maintain scalable ETL pipelines to efficiently process and transform large volumes of data from source systems into our data warehouse.
$159,400 - $210,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with data warehouse products in a cloud environment such as Google BigQuery, Redshift, Snowflake, etc. Mentorship: You will have the exceptional chance to work closely with Statistician/Data Scientist Daniel Jeske, the current Vice Provost of Academic Personnel and a professor of statistics since 2007.
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Job description H2Ok seeks a highly motivated and skilled Data Scientist to join our team and contribute to finding meaning in challenging data. We are bridging OT (operational technology) and IT (information technology) to provide data-driven optimization of facility performance in liquid-related processes (e.g., changeovers, cleaning/flushing, Clean-in-Place optimization, real-time product & ingredient QA/QC, wastewater optimization.
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As a Senior Data Engineer, you will play a vital role in our Data Engineering team, responsible for the development and maintenance of our Enterprise Data Platform, which encompasses a Serverless Data Lake, a Cloud Data Warehouse on AWS, and core data/application pipelines.
$145,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
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San Diego Community Power (SDCP) is seeking a seasoned Data Scientist to join our growing team of data transformation experts who will be responsible for collecting, organizing, and mining data to build AI and data science initiatives to deliver clean energy solutions that help our local and global communities.
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The Data Scientist will be responsible for applying advanced analytics and creating data-based insights for the Oncology, Rare Disease, and CNS business franchises in Kyowa Kirin North America.
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data warehouse jobs Title: data scientist Company: National Security Agency
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