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Python Software Engineer Ii
Company | JPMorgan Chase & Co. |
Address | Wilmington, DE, United States |
Employment type | FULL_TIME |
Salary | |
Category | Financial Services |
Expires | 2023-08-04 |
Posted at | 10 months ago |
The objective for our Public Cloud Data Platform Software Engineering teams is to design and build the multiple data lake and analytics data platform components required to easily ingest all types of data from publishers using streaming technologies, securely store this data in different formats, curate this data when needed, integrate data management controls, and make this data easily accessible to all types of consumers in big data analytics, machine learning, and artificial intelligence.
- Excellent verbal and written communication skills for expressing technical software requirements and designs
- Seek to continuously develop deep AWS engineering skills that optimizes code quality and performance
- Code, test, and deploy micro-services based software capabilities for big data and analytics in the AWS cloud
- Collaborate on data engineering coding principles, standards, designs, frameworks, and chaos testing
- This software engineering role has the responsibility for the delivery of technology for systems globally. The candidate will work closely with regional and global teams to deliver high quality technology services and projects on time, in scope, and within budget.
- Design, code, test, and deliver data platform software capabilities in the AWS cloud
- Collaborate on design innovation and develop engineering capabilities for advanced big data and analytics
- Data Analytics: AWS Athena, S3 Select, EMR, Redshift
- Data Lake: AWS Lake Formation, AWS Glue, AWS Step Function, AWS Lambda
- 2+ years of work experience in hands-on software development and Big data engineering
- Working experience in one or more of the following languages: Python(Preferred),Java/Scala(Good to Have)
- Data Movement: AWS CLI, Python API, Spark, Python Boto3
- Working experience in one or more Big Data platform technologies: HDFS, Hive, Spark
- Tools: Bitbucket/Git, Jenkins, ServiceNow
- Hands-on experience with one or more AWS data lake technologies:
- Strong Hands on Shell Scripting and UNIX
- Knowledge and experience with testing, releasing, and CI/CD pipeline deployments into AWS
- AWS Certification preferred
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