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As a DevOps Engineer for the CapitalOne Developer Platform you will play a crucial role in innovating databases like Oracle, Aurora, PostgreSQL and building automation with DevOps principles for AWS services like RDS, S3, IAM, CloudWatch with CI/CD tools like Jenkins.
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AWS Data Engineer, Cloud Data Integration, Data Lakes, Data Pipelines, Data Modeling, AWS Data Ecosystem, Apache Spark, Scala, Python, Snowflake, SQL Programming.
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Experience with cloud computing environments (AWS, Azure, GCP) and Data/ML platforms (Databricks, Spark). Typical Python Data Engineering library experience like Scikit-learn, Pandas, NumPy, Airflow, Kafka, and Spark.
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C#, devops, java, matlab, perl, php, software developer, software development engineer. Designs and builds data processing pipeline using cutting-edge AWS services, 3rd party open-source/commercial software, and internally developed software to ingest, process, and deliver data at scale.
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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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5+ years of experience in Database Engineering primarily in AWS Redshift, RDS/Aurora, DynamoDB, DMS, Glue. Proven experience in building data pipelines and database applications Strong coding and scripting experience with Python, PowerShell or similar languages.
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Key Responsibilities: Lead the engineering team in designing, developing, and deploying solutions applying modern web frameworks, machine learning solutions, data engineering technologies, microservices, and cloud-native architecture.
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Design and develop production ready software using web, cloud and distributed technologies including Apache Spark, Hadoop, Microservices, and CI/CD cloud deployment. Designing and developing production ready software using web, cloud and distributed technologies including Apache Spark, Hadoop, Microservices, and CI/CD cloud deployment.
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SAIC is seeking a Senior Cloud Computing Engineer with an active Interim Secret clearance to join the Cloud One Digital Engineering Team. This team is responsible for the architecture, engineering and sustainment of AF Cloud Digital Engineering platform currently deployed on AWS Cloud.
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6+ years utilizing cloud data products in platforms such as AWS, Azure, Databricks, GCP. The Lead Master and Reference Data Engineer will be a member of a dynamic team responsible for leading data engineering efforts to create a proprietary Master and Reference Data system.
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You will also drive the adoption of SOC2 / ISO certification(s) as we evolve from a data provider to a cloud software strategy. Experience with security on cloud platforms with a deep understanding of offerings from key cloud providers (i.e. AWS, Databricks, Snowflake.
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AWS Certified Solutions Architect Professional or AWS Certified DevOps Engineer Professional. Certified Application Security Engineer (CASE) Certification or Certified Secure Software Lifecycle Professional (CSSLP) Certification.
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From large scale mass communication projects to highly secure and confidential data analytics using Big Data frameworks like Hadoop and AWS Redshift, ODS has a broad set of proven technical capabilities that help companies make complex digital transformations.
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AWS Cloud Practitioner or greater. Cloud One is an existing global, interconnected, virtualized, hybrid, and IT infrastructure hosting mission systems, applications, services, and data that will serve the U.S. Air Force (USAF.
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Work on designing, developing, and implementing software solutions using Java Spring Boot, Microservices architecture, and AWS cloud services. Your responsibilities will encompass designing resilient Microservices, utilizing Spring Boot, and leveraging AWS cloud services to drive our technical projects to success.
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software engineering developer aws cloud data engineer jobs Title: engineer Company: Avid Technology Professionals
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