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Apache Spark, Kafka, Airflow, Kubernetes, Databricks, Snowflake and more. Databases/Storage knowledge: Snowflake, PostgreSQL, Elasticsearch. Apache Spark, Kafka, Airflow, Kubernetes, Databricks, Snowflake and more.
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Experience with BigQuery, Snowflake, Microsoft SQL Server. Experience with cloud computing platforms and data warehouse solutions such as AWS, Azure, Snowflake, and Microsoft SQL Server. On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes.
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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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We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake. 5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake.
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The environment involves Batch Pipelines involving core technologies such as Scala, Python, Spark, EMR, Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg, DynamoDB amongst many others. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 9+ years of experience in application development including Python, SQL, Scala, or Java. 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. Center 1 (19052), United States of America, McLean, VirginiaSenior Manager, Data Engineering.
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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. 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.
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4+ years of experience with UNIX/Linux including basic commands and shell scripting. 4+ 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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Traitement de données BigData sur les plateformes Cloud Marché (BigQuery, Snowflake, Redshift). Impatient, tu souhaites profiter de ton stage pour monter rapidement en compétences sur différents langages et outils d’analyse de données et de data visualisation : Python, SQL / Big Query, Google Analytics 4, Looker Studio, Tableau, Power BI.
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Demonstrated experience with AWS, GCP, Azure, Snowflake or Databricks and familiarity with Docker and Kubernetes. Develop and deploy scalable, high-availability cloud services and applications, emphasizing AWS, GCP, Azure, Snowflake, etc.
$140,250 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL. 2+ years of experience with Presto or Snowflake. Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL.
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Experienced in integrating Salesforce Marketing Cloud with other applications such as AWS, Snowflake, AEM and Pega. Experienced in integrating Salesforce Marketing Cloud with other applications such as AWS, Snowflake, AEM and Pega.
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Hands-on experience in Snowflake and Databricks engineering required. Certifications in cloud services (AWS, Snowflake, Google Cloud Platform, Azure) preferred. Lead data migration from RDBMS to Snowflake cloud data warehouse.
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snowflake job
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