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Experience with Public Cloud platforms such as Google Cloud Platform, AWS, or Azure Experience with Cloud Networking, Cloud Storage, Cloud Security. GITHUB, Continuous Integration/ Delivery, Application Development, Google Cloud, Kubernetes.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 5+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Utilize programming languages like Scala, Java, Python, SQL and GO and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. Experience with microservices architectures and constituent technologies (Flask, gokit, Spring Cloud.
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And technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures. We are in the midst of helping clients fundamentally rethink how to transform 20+ years old systems and services in investment and core banking, payments, retirement and wealth management into modern cloud native.
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Our enterprise projects often require us to bridge and / or transform legacy systems to cloud native modern to extend business functionality and unlock data, we use digital decoupling technique to slowly and methodically hollow out the existing core and reimagine functionality, capture and distribute data changes.
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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 warehousing services such as Redshift and Snowflake.
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The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment. As a Capital One Senior Manager Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
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Experience with BI tool and Database integration (e.g. Snowflake or other cloud db with Tableau, PowerBI, Google Looker Studio, Microstrategy etc.) Experience with high volume data processing using Snowflake, Redshift, Databricks, and other relevant cloud technologies and designing solutions for reliability and performance at scale.
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Expertise in database management systems (e.g., SQL Server, Oracle, MySQL) and cloud platforms (e.g., AWS, Azure, Google Cloud Platform). Stay updated on industry trends and advancements in data management, cloud computing, and big data technologies.
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As a Capital One Senior Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. You will be working with Scala, Morphir IR, Go, Python, AWS (Fargate, EMR, Glue, S3), Cassandra, DynamoDB, Snowflake etc., and will have great opportunities to learn and contribute to the success of the platform.
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4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. West Creek 8 (12080), United States of America, Richmond, VirginiaSenior Lead Software Engineer, Full StackDo you love building and pioneering in the technology space.
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Senior Lead Data Engineer. 4+ years of data warehousing experience (Redshift or Snowflake) 9+ years of experience in application development including Python, SQL, Scala, or Java. 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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google cloud jobs Title: machine learning engineer Company: Workiva in Mililani-town, Hawaii
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