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Experience with AWS (ECS, MSK, S3, Lambdas, ALB), Docker, Kafka, Kafka Streams, Spring, Rest services, Scala, CICD, Unit tests. Expert-level experience with Docker, Scala, Spark and Databricks.
$149,240 - $209,660 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Two plus years working with one or more of the technologies: Kafka, API Gateway, Kinesis, Docker, Apache Airflow, and/or Lambda. 1-2 years of working experience with scripting languages, and/or statistical tools: Python, R, Scala, SAS.
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Certifications in AWS DevOps, AWS RDS/DMS, data engineering, data science, automation, or database technologies a plus. Postgres, Oracle, SQL Server, Snowflake, Amazon Relational Database Services (RDS) preferred.
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Optimized AWS RDS instances including replication using AWS Database Migration Services (DMS) 3-5 years of hands-on experience with DevOps tools for design, build, test, release, and monitor jobs - Jenkins/Ansible preferred.
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Strong knowledge on Databricks SQL/Spark/Scala - Data engineering pipeline. 2+ years of experience on cloud-based development including Azure Services, Azure Devops, Kubernetes, Docker. Strong knowledge on Databricks SQL/Spark/Scala - Data engineering pipeline.
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Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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Advanced Scala, Python, AWS, Redshift, Snowflake,Hadoop, Hive, Spring, Hibernate, Cassandra, Kafka, ETL, Strong proficiency in Scala, Apache Spark, including Spark SQL, Spark Streaming, and Spark MLlib.
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Experience running Docker with some kind of orchestration system such as Nomad (we use Nomad), Kubernetes, or Amazon ECS. Currently, you'll find us predominantly working in Golang, Python, Ruby, and Scala backed by Puppet for configuration management and Terraform for infrastructure.
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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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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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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Lead Software Engineer, Full Stack, (Java, Golang) As a Capital One Lead Software 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 love to solve real problems and meet real customer needs. 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: Java, Scala, Python, Go, or Node.js. Lead Software Engineer Backend (Python, SQL, ETL, Spark, AWS) 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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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Software Engineer. 2+ years of experience with AWS, GCP, Azure, or another cloud service. 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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7+ years of experience in at least one of the following: Java, Scala, Python, Go, or. 7+ years of experience in at least one of the following: Java, Scala, Python, Go, or. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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