Job responsibilities
- Executes standard software solutions, design, development, and technical troubleshooting
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
- Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
- Designs, analyzes, develops, tests, debugs and delivers software and/or new products as part of Data Lake, ETL using AWS Services and Reporting & Analytics within JP Morgan’s Legal Technology
- Work with development leads/scrum masters & product owners to identify solutions to their analytic needs, develop new Data Ingestion and Transformation jobs for Data Lake.
- Identify process simplification opportunities for overall ETL and Analytic environment. Work with Cloud COE team and business partners to automate or simplify existing processes, and to remove any manual steps from data ingestion and delivery.
- Demonstrates good understanding of Agile framework for end to end software development and deployment tool chains.
- Collaborates with fellow team members and keeps the team and other key stakeholders well informed of progress of application business features being developed
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ years applied experience
- 2+ years of experience developing data ingestion from on premise applications to private cloud AWS using related services such as S3, Glue, EMR with Python/Java/Spark
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Proficient in application development skills for more than one Cloud and Traditional Data Engineering technology
- Experience developing data ingestion from on premise applications to private cloud AWS using related services such as S3, Glue with Python/Java/Spark, Athena, Redshift and associated monitoring services such as cloud watch.
- Ability to collaborate with business teams in order to understand, translate and capture the requirements and come-up with practical and innovative solutions.
- Good understanding of AWS and AWS services.
- Experience across the whole Software Development Life Cycle
- Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Experience in cloud technologies preferred