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Utilize Snowflake features for data warehousing, such as virtual warehouses, clusters, and multi-cluster warehouses to optimize query performance. Leverage the capabilities of the Snowflake data platform to architect and implement scalable and efficient data solutions.
$200,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The DWA/EDI specialist will architect, design, implement and maintain data interchange systems with external and internal partners and applications into the company’s modern data stack which include multi cloud platforms, Snowflake, and EDI pipelines.
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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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Current certifications in any of the following areas: cloud provider (AWS, Azure, GCP) technologies, cloud data technologies (Redshift, BigQuery, Synapse, Fabric, Snowflake, Databricks, etc.
$241,500 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Our CI/CD pipelines are implemented on top of Jenkins and deployed to AWS. Some of the other technologies we have in our ecosystem are Glue, S3, Lambdas, ALBs, Snowflake and Databricks. Senior Manager, Data Engineering (Spark, Scala, SQL.
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PowerBI less preferredMust Haves:Data warehousing fundamentalsAt least 1 cloud-based warehouse (Redshift, BigQuery, Snowflake)ETL (Python)Experience in ML Pipeline engineering. Need experience building ETL pipelines from NoSQL databases, MongoDB acceptable, but if they have used a less mature NoSQL such as Google Filebase that would be preferredExperience in Vector DB preferredNeed strong data warehousing and modeling fundamentalsAdvanced SQL skillsNeed experience with at least 1 BI tool: Tableau, Looker, etc.
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Experience in developing partner led sales in collaboration with data platform and tool vendorsIn-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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5+ years of experience with data warehousing, including DataBricks Lakehouse or Snowflake. 5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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Qualifications Requirements: Bachelor's degree inputer Science, Information Technology, or a related field Solid experience in Databricks platform, data engineering, and using Delta Live Tables Experience with medallion architecture in a data lake environment Proficiency in Snowflake data warehousing platform Strong understanding of ETL workflows and data pipeline automation.
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5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) As a Capital One Senior Manager Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Experience with Cloud data warehouse technologies (Azure Data Warehouse, Amazon Redshift, Snowflake). The Data Architect will be held accountable for the following responsibilities: Define and implement the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platformsCreate standards, design patterns, and best practices for ETL development in an enterprise data warehouse environment.
$115,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job Title: Data Engineer/ Data ArchitectLocation: Corvallis, OR – 5 Days Onsite Role Job Description: At least 8 to 10+ years’ experience in data engineering , AI and ML and Aws/Azure Architect, Design and implement distributed data processing pipelines using Spark, Python, SQL and other tools and languages prevalent in the Big Data/Lakehouse ecosystem.
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The position relies on expertise in data architecture on Databricks delta lake, streaming technologies, Azure cloud platform, ETL development, data modeling, and data warehousing.
$147,800 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Design and architect scalable data pipelines and ETL processes with tools like Snowflake, Fivetran, DAGs (Directed Acyclic Graphs), Airflow, and Astronomer. Implement best practices for data governance, data quality, and data security.
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2+ years of data warehousing experience (Redshift or Snowflake) Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets.
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snowflake warehousing data architect jobs Title: data governance
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