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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. 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Senior Data Engineer (Python, Scala, or Spark) 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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Lead Software Engineer Backend (Python, SQL, ETL, Spark, AWS) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Senior Data Engineer - Principal Associate (Spark, Scala) Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data infrastructures and pipelines.
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3+ years of experience with big data frameworks (Amazon EMR, Apache Spark) Utilize programming languages like Java, Python, SQL, Node, Go, and Scala. Work on public cloud infrastructure, Big data technologies, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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7+ years of experience in application development including Python, SQL, Scala, or Java. 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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2+ years of data warehousing experience (Redshift or Snowflake) CoDAC Team : We are responsible for building data integration pipelines leveraging AWS services and Scala programming to support Card Partnerships conversions into Capital One Card and Enterprise ecosystems.
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2+ years of experience with AWS, GCP, Azure, or another cloud service. 7+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js. 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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9+ years of experience in at least one of the following: Java, Scala, Python, or Go. 3+ years of experience with designing and implementing public cloud infrastructure. 4+ years of experience with container & image management (AWS EKS, Kubernetes, Docker.
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA Amazon Web Services (Security Groups, Batch, Lambda, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis.
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Strong programming skills in languages such as Python, Java, or Scala, with experience in data processing frameworks like Apache Spark or Apache Beam. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and services like AWS Glue, Azure Data Factory, or Google Dataflow.
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In-depth knowledge of Google Cloud Platform services, particularly Vertex AI, BigQuery, Dataproc. Extensive expertise with distributed computing and big data technologies like Spark, Kubeflow, Airflow and SQL.
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The tech stack is primarily AWS ECS with services written in Go, and DynamoDB as a back end datastore. Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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Utilize programming languages like Python, SQL, Spark and Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and a variety of AWS tools and services.
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