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AWS Big Data Lead Software Engineer

Columbus, OH • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

$52 - $69/hr

Other

This job post has expired today. Applications are no longer accepted.

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

Job description

Job responsibilities
  • 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 applies system processes, methodologies, and skills for the development of secure, stable code and systems
  • Hands on applicaitn 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 onAWS 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
Required qualifications, capabilities, and skills
  • 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 Datastores (e.g. Cassandra, Red Shift)
  • Experience designing, developing and deploying software components onAWS 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, BigData, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills
  • 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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