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Familiarity with back-end frameworks (such as Django, Ruby on Rails, Express, etc.) Familiarity with cloud platforms (AWS, Azure, Google Cloud) Proficiency in at least one server-side programming language (Python, Ruby, Node.js, etc.
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The DevOps AWS Cloud Engineer will play a crucial role in designing, implementing, and maintaining the infrastructure and deployment pipelines on the AWS cloud platform. 5-7 years of professional experience in DevOps roles, with a focus on AWS cloud infrastructure.
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3+ years of experience working on streaming data applications (Spark Streaming, Kafka, Kinesis, and Flink) 3+ years experience working with data pipeline open source products (Airflow, Jupyter, Anaconda) 3+ years hands-on experience with Hadoop data platform (MapReduce, Pig, Hive, HBase, Impala), experience working with Cloudera stack is preferred.
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Authentication and access controls like AWS Control Tower, AWS Organizations, AWS Single Sign On, AWS WAF, AWS Shield, Amazon Cognito, MFA, Responsibilities Be a Developer on all technology stacks within the Payment Disbursement portfolio while providing hands on delivery of new capabilities for an AWS Development Team.
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Database Server on premise and AWS cloud skills are a must with Oracle and PostgreSQL. The basic automation skills, such as Ansible, Python, terraform for IAC are required. Solid knowledge of Oracle 19c and technical database concepts, including logical relational data modeling, physical data modeling, tuning large instances, resource management, data replication and backup/recovery techniquesAutomation skills, such as Ansible, Python, terraform for IAC.Knowledge and experience of AWS or Oracle Cloud Infrastructure and Cloud ServiceHands-on cloud migration experience is preferred.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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Our tech stack includes PHP, Laravel, Swoole, Docker, CI/CD, AWS, PostgreSQL, Kafka, and unit tests, framed within agile scrum methodologies and Restful, event-driven architectures. Similar Jobs (13) Senior Site Reliability Engineer - Observability locations 2 Locations time type Full time posted on Posted 26 Days Ago Senior Database Engineer locations 2 Locations time type Full time posted on Posted 30+ Days Ago Senior PHP Software Engineer, WFM locations 2 Locations time type Full time posted on Posted 30+ Days Ago.
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DevOps & Cloud- Apigee, AWS (Rancher/ Kubernetes), GIT, Maven, Jenkins, Harness, CI/CD Pipeline. Mobile Application Design and development in Flutter, Java 8+, Spring Boot 2+ & AWS Cloud, Code Deployment.
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Experience with vulnerability management practices in AWS, GCP, or Azure. Strong determination and ability to automate common tasks - Python, Ruby, or PowerShell. Experience performing vulnerability assessments on Windows, Linux, networking and other IP devices, mobile environments, and Cloud environments.
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Skills Required: Requires experience in the following: Windows; Agile SDLC; Microservices; Docker; J2EE; Jenkins; Spring; Java; Apache Tomcat; REST; SOAP; Maven; JSON; Kubernetes; AWS Cloud Services; Splunk; GIT; Junit; Manual Testing; Performance Testing; Regression Testing; Smoke Testing; Unit Testing; and User Acceptance Testing.
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Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths. 5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP.
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SQL, AWS, R, Python & Snowflake would be a big plus. Create compelling, intuitive dashboards to enable the business with critical metrics, with a focus on data automation, anomaly detection, and actionable data visualizations.
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Be a Developer on all technology stacks within the Payment Disbursement portfolio while providing hands on delivery of new capabilities for an AWS Development Team. Develop primary execution engine on AWS Lambda to support highly available and handles high volume payment origination, processing, disbursement, and settlement capabilities.
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1- 3-year minimum professional experience in cloud data engineering and science and associated technologies utilizing cloud data platforms such as Databricks, AWS RedShift, and Snowflake. This role will serve as a hands-on contributor and be a thought leader in the areas of data engineering, cloud data strategy, Business Intelligence, Data Modeling and ETL/ELT.
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Experience with Public Cloud (AWS, Azure, GCP) and On-Premises Environments. Maintain a 101 level competency and certification level in core technology areas across AWS (AWS SA Associate Certification) & Microsoft Azure (e.g. AZ-104 Azure Administrator.
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