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2+ years of data warehousing experience (Redshift or Snowflake) Utilize Snowflake for efficient data storage, data warehousing, and Azure Data Factory for orchestrating and automating data workflows.
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Experience with AWS, Snowflake, Databricks/Apache Spark, Redshift, technologies. Cloud-first experience with modern data engineering tools such as Apache Spark, python, dbt, Databricks, and Snowflake.
$140,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Strong proficiency in data analytics tools such as Domo, PowerBI, Tableau, Looker, Snowflake, Redshift, Jupyter Notebook, etc. Strong proficiency in data analytics tools such as Domo, PowerBI, Tableau, Looker, Snowflake, Redshift, Jupyter Notebook, etc.
$130,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experienced with big data tools such as Kafka, and proficient in cloud data warehouse systems like Redshift, Snowflake, or BigQuery. Experienced with big data tools such as Kafka, and proficient in cloud data warehouse systems like Redshift, Snowflake, or BigQuery.
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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. 1+ years of data warehousing experience (Redshift or Snowflake.
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1+ years of data warehousing experience (Snowflake or DeltaLake) 1+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
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3+ years of experience in application development including Python, SQL, Scala, or Java. 2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL.
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Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. New York City (Hybrid On-Site): $138,500 - $158,100 for Data Engineer. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. 2+ years of experience with UNIX/Linux including basic commands and shell scripting.
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1+ years of experience with NoSQL implementation (Mongo, Cassandra) Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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The tech stack is primarily Java, AWS serverless, EMR, EC2, and ECS with services written in Scala, Spark, and Python, and uses Snowflake as our Database. The tech stack is primarily Java, AWS serverless, EMR, EC2, and ECS with services written in Scala, Spark, and Python, and uses Snowflake as our Database.
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2+ years of experience with distributed computing tools (Spark, EMR, Hadoop) As a Capital One Senior Associate, Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 5+ years of experience in application development including Python, SQL, Scala, or Java. 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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Familiarity with commercial and/or open-source storage frameworks and compute platforms such as Apache Spark, Apache Flink, and Ray. Knowledge of analytics databases like Snowflake, Redshift, and BigQuery.
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Experience with cloud-based data storage platforms, preferably Snowflake, Azure SQL Data Warehouse or AWS Redshift. Experience with cloud-based data storage platforms, preferably Snowflake, Azure SQL Data Warehouse or AWS Redshift.
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