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Direct experience designing modern data and analytics architectures within two of the major cloud hyperscalers (Amazon AWS, Microsoft Azure, and Google Cloud), leveraging native services as well as incorporating at least one of the leading data platform service providers (Snowflake and Databricks.
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At Cognizant Digital Engineering, a small cross functional team comprised of a Product Manager, an Architect, Full-Stack Developers, UI/UX designers and Big Data analysts builds higher quality software faster siloed individuals working independently.
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One or more of the following certifications: Certified Scrum Master (CSM), Certified Information Systems Security Professional (CISSP), AWS Certified Solutions Architect Professional, Google Cloud Professional Certification, PMI Project Management Professional (PMP.
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Relevant certifications such as Google Cloud Certified - Professional Cloud Architect or HashiCorp Certified: Terraform Associate are highly desirable. As a Cloud Solutions Architect specializing in Google Cloud Platform, you will play a pivotal role in designing, implementing, and optimizing cloud solutions to meet our business needs.
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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. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Senior Manager, Data Engineering. 4+ years of data warehousing experience (Redshift or Snowflake.
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5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 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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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. 4+ year experience working on real-time data and streaming applications.
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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. 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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At least 2 years of experience in big data technologies. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. 2+ years of experience with Agile engineering practices.
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Team Description: The Card Data Organization team works on the foundational capabilities of how data should be produced and consumed. The environment involves Batch Pipelines involving core technologies such as Scala, Python, Spark, EMR, Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg, DynamoDB amongst many others.
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9+ years of experience in application development including Python, SQL, Scala, or Java. Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
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At Capital One, you’ll be part of a big group of makers, breakers, doers and disruptors, who 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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4+ years of experience with UNIX/Linux including basic commands and shell scripting. 4+ years of experience with NoSQL implementation (Mongo, Cassandra) Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting. Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc.
$120,000 - $162,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
solution architect data engineering google cloud jobs Company: Tiger Analytics
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