AWS Big Data Lead Software Engineer

Overview

Design & build new applications utilizing leading edge technologies and modernize existing applications. Implement batch & real-time software components consistent with architectural best-practices of reliability, security, operational efficiency, cost-effectiveness and performance. Ensure quality of deployed code via automated unit, integration & acceptance testing. Collaborate with multi-national agile development, support and business teams to meet sprint objectives. Participate in all agile meetings & rituals, including daily standups, sprint planning, backlog reviews, demos, and retrospectives.

Learn and apply system processes, methodologies, and skills for the development of secure, stable code and systems. Hands on application development leveraging distributed compute such as Apache Flink or Spark on very large datasets. Design and development of applications that leverage the AWS infrastructure deploying software components on AWS using common compute and storage services such as EC2, EKS, Lambda, S3.

Lead and deliver projects from concept to production across PNI (Personalization and Insights) platform.

• Design & build new applications utilizing leading edge technologies and modernize existing applications
• Implement batch & real-time software components consistent with architectural best-practices of reliability, security, operational efficiency, cost-effectiveness and performance
• Ensure quality of deployed code via automated unit, integration & acceptance testing
• Collaborate with multi-national agile development, support and business teams to meet sprint objectives
• Participate in all agile meetings & rituals, including daily standups, sprint planning, backlog reviews, demos, and retrospectives
• Provide level 2 support for production systems
• Learn and apply system processes, methodologies, and skills for the development of secure, stable code and systems
• Hands on application development leveraging distributed compute such as Apache Flink or Spark on very large datasets
• Design and development of applications that leverage the AWS infrastructure deploying software components on AWS using common compute and storage services such as EC2, EKS, Lambda, S3
• Lead and deliver projects from concept to production across PNI (Personalization and Insights) platform

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience in Frameworks, system design, application development, testing, and operational stability
• Experience with Apache Spark, Apache Flink or similar large-scale data processing engines
• Experience with Distributed Data stores (e.g. Cassandra, Red Shift)
• Experience designing, developing and deploying software components on AWS using common compute and storage services such as EC2, EKS, Lambda, S3
• Experience with Big Data / Distributed / cloud technology (AWS Big data services like lambda, glue, glue emr, Performance tuning, Streaming, KAFKA, Entitlements etc.)
• Experience with Apache Spark, Ray or similar large-scale data processing engines
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, Big Data, artificial intelligence, machine learning, mobile, etc.)

• Experience building ETL/Feature processing pipelines
• Experience using workflow orchestration tools—Airflow, Kubeflow etc.
• Experience using Terraform to deploy infrastructure-as-code to public cloud
• Experience with Linux scripting such as Bash, KSH, or Python
• Certified AWS Cloud Practitioner, Developer or Solutions Architect strongly preferred

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