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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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Strong experience on Snowflake or DataBricks (including PySpark) along with tools like DBT or Snaplogic or Informatica Stack. Strong experience on Snowflake or DataBricks (including PySpark) along with tools like DBT or Snaplogic or Informatica Stack.
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Job Description Job Title: Snowflake Data Engineer About the Role: The Snowflake Data Engineer will be a key member of the CAESAR (Crum Aggregate Enterprise Store for Analytics & Reporting) team, responsible for building, optimizing, and managing data pipelines in the Snowflake cloud data platform.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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Develop strategic partnerships: Foster strong relationships with key partners like Microsoft, Google Cloud, AWS, Snowflake, Databricks, and Informatica. Craft compelling value propositions: Demonstrate how our cloud data services (AWS, GCP, Azure, Snowflake, Databricks) deliver tangible business outcomes and competitive advantage.
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Familiarity working with or building GraphQL schemasExperience in Ruby or ElixirExperience working with data warehouses such as Snowflake Fostering a diverse, welcoming and inclusive environment is important to us.
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Deep understanding of Microsoft Azure & Synapse/Fabric, SnowFlake, AWS and other large data platform technologies. Demonstrated experience leading complex Digital and Data Transformation services sales processes with multiple team members and decision makers (C-suite level - accounting and finance executives including CFO, CIO, CTO, CDO, VP of Finance, Head of FP&A.
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Our main tech stack includes Snowflake, Apache Airflow, AWS cloud infrastructure (e.g., Kinesis, Kubernetes/EKS, Lambda, Aurora RDS PostgreSQL), Python and Typescript. On-site fitness center at the Home Office in Columbia, Missouri, complete with weightlifting machines, cardio equipment, group fitness space, racquetball courts, a climbing wall, and much more.
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Experience with Cloud data warehouse technologies (Azure Data Warehouse, Amazon Redshift, Snowflake). Expertise in BI and data warehousing principles including data modeling, data quality, extract/transform/load process as they apply to data preparation for BI/ Analytic solutions.
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MS SQL Server, SAS, MS Access, Tableau, Alteryx, MS Access, MySQL, Oracle, Snowflake or Teradata) is desirable but not required. Use software such as SQL, R, Stata, SAS, Python, or Snowflake.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Position SummaryAs a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
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Data Pipeline Development : Design, develop, and optimize scalable data pipelines using Microsoft SQL Server, Snowflake, and Airflow. Proven experience in building and managing large-scale data pipelines, with specific experience using Microsoft SQL Server, Snowflake, and Airflow being a plus.
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Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
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Highly proficient in data management solutions (Oracle, SQL, Snowflake, SAS) and MS Excel with significant experience in manipulating large data sets. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.
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Hands on Technical experience with various Data Product development tools, utilities, and frameworks such as Azure Delta Lake/ Synapse, Snowflake, Databrick, IBM DataStage, Informatica, Oracle PL/SQL, and Master Data concepts.
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snowflake warehousing jobs Title: site engineer in Chicago, IL
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