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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Attend daily stand-ups and connect with the team using Slack, Jira, and Microsoft Teams. Familiarity with cloud architecture in AWS, GCP, or Azure. Experience building applications using a Lambda or Azure function.
$150Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Creating new data pipelines, data transfers, and infrastructure to facilitate seamless data utilization within cloud environments (primarily Microsoft Azure). ECG uses a Microsoft Azure and Microsoft 365 environment, with Microsoft Power BI as ECG’s current analytics visualization platform.
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Data engineering certifications (e.g. Azure Certified Data Engineer) are a plus. Azure SQL Data Warehouse / Azure Dedicated Pools. Generate a variety of reporting outputs, leveraging Microsoft Power BI and other tools.
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Thank you for stopping by to take a look at the Data Engineer with a focus on SSRS and PowerBI role I have posted here on LinkedIN, I appreciate it. Here is what we are looking for: The official Title of this role is 'Financial Applications Data Engineer.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with cloud computing (AWS, Microsoft Azure, Google Cloud) The ideal candidate is an experienced Data Engineer with background in ETL or ELT processing with SQL/NoSQL databases, a background in transforming existing tech to new open source technologies (ideally Postgres) as well as a strong development background in Spark, Scala, Java and/or Python.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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0 – 3+ years of experience with developing and maintaining ETL / data pipeline (e.g., Microsoft SSIS, Azure Data Factory). Experience with report writing and data visualization tools such as: Microsoft Power BI, Tableau, Crystal Reports, SSRS, etc.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). For Data Engineer (II) Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
$120,000 - $162,500 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Research and prototype solutions for data connectivity and operations across various Microsoft Azure Platforms. Microsoft Azure Databricks. The Risk Data Analytics team (business side) is looking to expand their team and help support their workload as they move from Azure Databricks to Snowflake Cloud.
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The Data Engineer Associate is responsible for delivering data warehouse and analytic solutions by ingesting, integrating, and curating data, building analytical solutions, and administering systems to deliver information to the health system.
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As a Capital One Senior Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Senior Lead Data Engineer.
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Proficient working knowledge of native cloud-based tools on Microsoft Azure or AWS, including SQL/NoSQL databases, data lakes & blob storage as well as various cloud-based compute solutions such as Databricks or Snowflake and Kubernetes/Docker.
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Understanding of cloud architectures and services involving SaaS solutions with any of the popular cloud providers (Amazon Web Services, Google Cloud, Microsoft Azure) We are looking for a Partner Sales Engineer who is passionate about working with these data integration partners to help them build cutting-edge integrations and solutions for our joint customers.
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Build the infrastructure required for optimal ETL/ELT pipelines to ingest data from a wide variety of data sources using Microsoft Azure technologies such as Azure Data Factory and Databricks.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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5+ total years of hands-on working experience with Microsoft SQL Server database / Azure SQL DB / Azure SQL Managed Instance DB. experience in full data pipeline technologies including Azure SQL Database / Managed Instance, Data Factory, Azure Logic App, Azure Blob Storage, Azure Data Lake, Synapse and other related tools.
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microsoft azure jobs Title: data engineer in Chicago, IL
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