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At least two years experience in implementing, automating and integrating Big Data infrastructure resources like S3, Redshift, Aurora, Kinesis, Kafka, EMR, Lambda, SNS, Azure Blob Storage Account ,SQL Data Warehouse, Microsoft Event Hubs , HDInsights, Azure Databricks, Azure Functions,Event Grid, Data Lake Analytics in an ephemeral/transient and in an elastic manner.
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Experience in optimizing data models and access patterns for modern warehouse and orchestration platforms such as Snowflake, Redshift, Databricks, Spark, DBT, Apache Airflow, and Prefect.
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Design, develop and manage Lenox Cloud based (AZURE) in-house data warehouse, reporting and dashboard platforms, integrations, and interfaces between D365, legacy Lenox data and 3rd party vendor software systems.
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Developing and maintaining complex ETL mappings, workflows, and UNIX shell scripts in a Data Warehouse environment, based on technical specifications and other supporting documentation, using Informatica PowerCenter, Unix Shell Scripts, advanced SQL, and Autosys/Tidal Enterprise Scheduler, used for data integration.
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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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Experience in Data Migration from RDBMS to Redshift/Snowflake cloud data warehouse. Provide direction on adoption of Cloud technologies (Redshift, Postgres, Snowflake,) and industry best practices in the field of data lakes and data warehouse architecture and modelling.
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Learn more and interview for opportunities on our overnight warehouse team at our upcoming hiring event! Willing to relocate (with support) to another Uline warehouse location as needed.
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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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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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The Chefs' Warehouse is an Equal Opportunity Employer that does not discriminate based on actual or perceived race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, disability or handicap, sex, marital status, veteran status, sexual orientation, pregnancy, gender identity or any other characteristic protected by applicable federal, state, or local laws.
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Design, develop and manage Cloud based (AZURE) in-house data warehouse, reporting and dashboard platforms, integrations, and interfaces between D365, legacy data and 3rd party vendor software systems.
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Expert Microsoft t-SQL and DAX development skillsExtensive experience using various data modeling techniques (Kimball, Inmon, or Data Vault)Experience using the Power Platform, particularly Power Bi and Power AutomateExperience in a multicloud environment, with a focus on GCP.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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The Senior Analytics Engineer is responsible for integrating data into the Enterprise Data Warehouse (EDW) from various internal and SaaS sources using a cloud ELT platform, AWS Lambda/Glue, and Python to support downstream teams with reporting (Snowflake, Databricks or Redshift.
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Commercial cloud (Azure) based data platform that can serve both Care Delivery Organization (CDO) level data warehouse / data mart needs as well as to feed, transform and store clinical and administrative data for the Optum Care Enterprise at a national level.
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data warehouse jobs Title: data scientist Company: Verizon Wireless
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