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7+ years of experience in application development including Python, SQL, Scala, or Java. 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.
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Expert in finding opportunities to re-use before re-build Expert knowledge of version control systems (preferably Git)Strong in writing SQL queries Strong in data modeling within both SQL and NoSQL databasesExperience working with one or more back-end technologies such as NodeJS or Python Expert in building microservice-based architectures, RESTful services, and methodologiesStrong in front-end technologies such as SvelteJS, ReactJS, React Native, etc.
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Proficiency in popular coding languages including C#, Python, JavaScript, Java. Database application: SQL Server, Oracle, NoSQL. Client-side technology: React, HTML, CSS, JavaScript, Bootstrap.
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Queries multiple data sources using SQL, develops ETLs, and produces analysis / reporting using data analysis and visualization tools such as Tableau, R, Stata, Python, etc. The successful candidate should be comfortable performing the following: writing queries in SQL Management Studio, writing ETL's in SSIS, developing analytical visualizations such as Tableau, Power BI, etc.
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3 - 7+ years of of experience, with proficiency in Python & SQL. 3 - 7+ years of of experience, with proficiency in Python & SQL. We’re experiencing more demand & interest than we currently have the capacity to build for – including from international governments, the largest utility firm in the US, enterprise institutions, & the NFL – and are looking for a talented senior engineer to take ownership of large parts of our stack and technical buildout.
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Experience with programming languages (SQL, R, Python), front end design languages (HTML, CSS, JavaScript), developer packages such as Jupyter Notebooks. Experience with automating GIS processes and applications using Arcade, SQL, Python, etc.
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Deep expertise in Python, Java, Scala, SQL, and/or other relevant languages and frameworks. Experience with Spark, Hadoop, HIVE, Kafka, Cassandra or other distributed systems. Understand modern data engineering approaches, stay on top of developments, and are aware of what leading players are doing.
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2+ years of experience using Python, SQL or Scala. 2+ years of experience with ontology standards for defining a domain. 2+ years of experience using Python, SQL or Scala. As a Distinguished Data Engineer, you will partner alongside product and data engineering teams to build and deliver innovative solutions at an enterprise scale.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, 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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Typically requires hands-on related experience in advanced analytics, big data, data visualization in Looker, PowerBI or Tableau, SQL/Python coding of relational databases, as well as project management experience.
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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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Center 2 (19050), United States of America, McLean, VirginiaSenior Software Engineer, Back End (Python, Kubernetes, AWS)Do you love building and pioneering in the technology space? 5+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js.
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1+ years of experience with AWS, GCP, Azure, or another cloud service. 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.
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Center 1 (19052), United States of America, McLean, VirginiaSenior Machine Learning Engineer (Python, PySpark, SQL)As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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