AWS Cloud and Spark Architect
Listed on 2026-02-16
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IT/Tech
Cloud Computing, Data Engineer
About the job
AWS Cloud and Spark Architect requires 7+ years of experience in Amazon Web Services (AWS) Cloud Computing. 7+ years of experience in AWS Cloud Computing is required; 10+ years of experience in development, design, architecture implementation, and analytics solutions. Hands-on development, design, setup, and development of applications using AWS, Python, PySpark, and Cloud. Very strong Spark architecture and development knowledge. 510 years of experience in Python and PySpark.
At least 8+ years of experience on AWS (Glue, S3, Lambda at minimum). Skilled in Python core programming and Spark. Experience in Dev Ops building pipelines. Ability to design and demonstrate system architecture with different environments. Hands-on experience in Data Warehousing and SQL. Experience with Pandas. Strong expertise in SQL is required. Solid experience with Git software version control and good understanding of code branching strategies and organization for code reuse.
Experience with Dev Ops & CI/CD tools Jenkins, Cloud Bees, Please Build, etc. Proficiency working with large data stores and data sets. Healthcare knowledge is a must. Agile methodology (Jira preferable).
Must have capability to understand the current architecture. Architect, design, code, and implement cloud-based Spark applications. Support existing code through enhancement, troubleshooting, and maintenance as per requirements. Maintain consistent practices for source code management in Git Hub. Comply with established CI/CD practices, and participate in the creation of new CI/CD methods. Attend daily scrum calls and actively participate in updating/creating user stories and tasks in Jira.
Work closely with business analysts. Lead innovation by exploring, investigating, recommending, benchmarking, and implementing data-centric technologies for the platform. Collaborate within a project team to solve complex problems. Lead by example, coaching and mentoring peers, and guiding less experienced team members. Operate as part of the extended management team.
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