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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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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) 7+ years of experience in application development including Python, SQL, Scala, or Java.
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2+ years of data warehousing experience (Redshift or Snowflake) 2+ years of data warehousing experience (Redshift or Snowflake) 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Data warehousing platforms such as Redshift, Snowflake. You have hands-on experience with Databricks (Spark), the AWS ecosystem including (S3, Athena, Glue, Lambda, IAM, EC2) You have hands-on experience with the Databricks platform to create ETL pipelines using notebooks, scheduling jobs and create optimized spark cluster configuration for various ETL workloads.
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Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals.
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4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 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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Expertise in using data warehouse platforms such as (mention specific platforms, e.g., Snowflake, Amazon Redshift, etc. Expertise in using data warehouse platforms such as (mention specific platforms, e.g., Snowflake, Amazon Redshift, etc.
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Experience working with data warehouse tools(Snowflake, Databricks, Redshift etc.) Experience working with data warehouse tools(Snowflake, Databricks, Redshift etc.) 2+ years of experience in cloud ETL tools(Azure data factory, AWS glue) •2+ years in an Agile development environment.
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Data engineering proficiency is desired using AWS/big data services (i.e., EMR, Glue, Redshift) Data engineering proficiency is desired using AWS/big data services (i.e., EMR, Glue, Redshift) The group currently consists of 3 Portfolios Managers and an Analyst to manage capital and looking for an intern to help with data science, data sourcing, and data engineering, who are responsible for the discovery, management, and curation of thousands of alpha sources for the group.
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Proficiency in using tools such as Snowflake, Apache Kafka, Google BigQuery, RedShift, and QFlow is required. Proficiency in using tools such as Snowflake, Apache Kafka, Google BigQuery, RedShift, and QFlow is required.
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Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery. Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery. They enjoy the challenges of consulting and thrive to knock the socks off of clients.
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Knowledge of cloud databases like Snowflake or Redshift. Understanding and knowledge of IT service management (ITSM) and Information Technology Infrastructure Library (ITIL) Knowledge of cloud databases like Snowflake or Redshift.
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Deep expertise and hands on experience with large-scale data platforms such as Snowflake (preferred), Redshift, and/or Hadoop. Deep expertise and hands on experience with large-scale data platforms such as Snowflake (preferred), Redshift, and/or Hadoop.
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Ability to develop and automate complex SQL queries (Oracle/Redshift/MongoDB/etc) The Senior RF Engineering Manager will be responsible for cluster & market optimization, acceptance, and launch of a new 5G SA CBRS data network.
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Experience in AWS technologies such as EC2, Redshift, Cloud formation, EMR, AWS S3, AWS Analytics required. Excellent working knowledge of Apache Hadoop, Apache Spark, Kafka, Scala, Python etc.
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redshift job in Philadelphia, PA
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