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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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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. Senior Manager, Data Engineering.
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4+ years of data warehousing experience (Redshift or Snowflake) 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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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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Center 1 (19052), United States of America, McLean, VirginiaSenior Manager, Data Engineering (Spark, AWS) As a Capital One Senior Manager Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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AWS Certified Solutions Architect – Associate, Microsoft Azure Administrator Associate Certification, or GCP Associate Cloud Engineer Certification. You’ll closely collaborate with fellow cloud architects and engineers specializing in Office 365, Azure, AWS, or GCP to design, define, develop, test, and debug cloud solution components.
$84,600 - $193,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Experience with cloud computing platforms and data warehouse solutions such as AWS, Azure, Snowflake, and Microsoft SQL Server. Working knowledge with cloud computing platforms such as AWS, Azure, or Google Cloud.
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2 or more professional certifications (SAFe PM/PO, CISSP, GIAC, CISM, CCSP, AWS Cloud Practitioner, AWS Security) Contribute to the development of a healthy product backlog, collaborating with the Product Manager, Engineering, and Solution Architects to break down business epics, document user stories (to also include things like addressing technical debt, SRE, etc.
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Active AWS Certified Solution Architect Professional or AWS Certified DevOps Engineer Professional certification. Knowledge of native commercial Cloud (AWS, Azure, GCP) services, PaaS and SaaS solutions.
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Cloud Certifications: Additional certifications related to cloud platforms, such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect, or Google Cloud Certified - Professional Cloud Architect.
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Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with Apache Spark, and expertise in other data technologies and in public cloud - AWS, Azure, and GCP. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Platform.
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Advanced experience with Google Cloud Platform including BigQuery Omni, Cloud Functions, Dataplex and Composer. Advanced experience with Amazon AWS or equivalent cloud computing platform, including Lambda, SNS, EC2, ASGs, ElastiCache, DynamoDB, RDS and CodeDeploy.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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aws solution architect data engineering google cloud jobs Company: Tiger Analytics in Mclean, VA
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