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Experience in one or more programming languages such as Java, Scala, Python, Go or Kotlin. Familiarity with workflow or orchestration frameworks, open-source tools like Airflow and Luigi or commercial enterprise tools.
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA. Utilize programming languages such as 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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4+ years experience with Distributed data/computing tools (Glue, Airflow, EMR, ECS Fargate, Kafka, Spark, Aurora, or MySQL) Utilize programming languages like Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Our platform is ever evolving, but currently is a combination of SQL, Kafka, Flume, Spark, Scala, Java, Python, NoSQL (HBase, Cassandra and ScyllaDB), MPP RDBMS, Postgres, Hadoop, AWS, AirFlow, Docker, Kubernetes, and Elastic.
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Build scalable data pipelines (SparkSQL & Scala) using Airflow scheduler/executor framework. Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue or similar frameworks.
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Amazon Web Services (Security Groups, Batch, Lambda, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Experience with enterprise workload automation and job scheduling tools such as Control-M, JAMS, CA Workload Automation, Tidal Enterprise Scheduler, Airflow or similar. 1-3 years of experience with Hive, BigQuery, Scala, Spark, Python, Java.
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At least 6 years of experience in software engineering (Internship experience does not apply) Lead a portfolio of diverse technology projects and a team of developers with deep experience in full stack systems to create automation tools to support the Card Architecture team aligned with leading standards and practices including tooling solutions for Content Management, SDLC, DevOps, reporting, etc.
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At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. Lead Software Engineer, Full Stack (Java/AWS) 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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7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go. 4+ years of experience with AWS, GCP, Azure, or another cloud service. Center 1 (19052), United States of America, McLean, VirginiaLead Software Engineer, Full Stack (Java/AWS)Do you love building and pioneering in the technology space.
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Evaluate and select appropriate technologies, conduct proof of concepts and recommend tooling / enablement solutions for specific business requirements. Lead automation of Non-Functional Requirements testing such as Capacity, Saturation, Resilience, etc.
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As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace.
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At this time, Capital One will not sponsor a new applicant for employment authorization for this position. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.
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Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. We’re looking for a Manager - Full Stack Software Engineer to join the Card Architecture team who is passionate about marrying architecture best practices with emerging technologies.
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4+ years of experience as a Data Engineer, experience working with AWS, experience with Terraform, Kubernetes, Docker, EMR, Apache Spark (PySpark) and Apache Airflow, fluency in English, nice to have experience with GCP.
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