AWS Cloud and Spark Architect
5-star Inc
Bloomfield, CT, United States
20 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Amazon Web Services
Amazon S3
Business Analytics Applications
Software Applications
JIRA
Cloud Computing
Cloud Engineering
Code Reuse
Continuous Integration
Data Files
Data Warehousing
+16 more
DevOps
Github
Python (Programming Language)
Standard Sql
Software Engineering
SQL Databases
Systems Architecture
Cloudbees
Scripting
Apache Spark
Git
Pandas
Pyspark
Git Flow
Software Version Control
Jenkins
Job description
- Support existing code through enhancement, troubleshooting, and maintenance as per requirements
- Maintain consistent practices for source code management in GitHub
- 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
Requirements
Amazon Web Services (AWS), Cloud Architecture, Cloud Computing, Amazon Web Services (AWS), Architectural Analysis, Architectural Design, Python Programming/Scripting Language, Software Development, Software Design, Amazon Simple Storage Service (S3), * 7+ years of experience in Amazon Web Service (AWS) Cloud Computing
- 10+ years of experience in Development, Design, Architect Implementation, and Analytics Solutions
- Hands-on development, design, setup, and development of applications using AWS-Python/PySpark/Cloud
- Very strong Spark Architecture/Development knowledge
- 510 years of experience in Python and PySpark
- At least 8+ years of experience on AWS (Glue, S3, Lambda at the minimum)
- Candidates need to be very skilled in Python core programming and Spark
- Experience in DevOps building pipelines, etc.
- 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 DevOps & CI/CD tools Jenkins, CloudBees, Please Build, etc.
- Proficiency working with large data stores and data sets
- Healthcare knowledge is a must
- Agile methodology (Jira preferable)
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