Lead Software Engineer - Databricks PySpark AWS
Lead Software Engineer - Databricks PySpark AWS
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$ 152000 - 215000
1 Vacancy
Job Description
Be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver topnotch technology products.
As a Lead Software Engineer at JPMorgan Chase within the Corporate Sectors Engineering and Architecture Data Solutions team you are an integral part of an agile team that works to enhance build and deliver trusted marketleading technology products in a secure stable and scalable way. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problemsolving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams contractors and vendors
- Develops secure and highquality production code and reviews and debugs code written by others
- Drives decisions that influence the product design application functionality and technical operations and processes
- Serves as a functionwide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of firmwide frameworks tools and practices of the Software Development Life Cycle
- Influences peers and project decisionmakers to consider the use and application of leadingedge technologies
- Adds to the team culture of diversity equity inclusion and respect
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 5 years applied experience
- Handson practical experience delivering system design application development testing and operational stability
- Extensive handson experience with Databricks PySpark and ETL/Streaming Pipelines.
- Experience in AWS services such as Glue EKS ECS and Lambda.
- Proficiency in Alteryx Tableau ThoughtSpot and SQL.
- Knowledge and deep understanding of Databricks concepts including delta live tables and data pipelines.
- Advanced in one or more programming language(s) like python and java
- Advanced knowledge of software applications and technical processes with considerable indepth knowledge in one or more technical disciplines (e.g. cloud artificial intelligence machine learning mobile etc.
- Ability to tackle design and functionality problems independently with little to no oversight
- Practical cloud native experience
- Experience in Computer Science Computer Engineering Mathematics or a related technical field
Preferred qualifications capabilities and skills
- Experience in software applications and technical processes within a technical discipline (e.g. cloud.
- Experience incoding in React.JS Java and Java frameworks
- Experience with Shell scripting Unix and Python
- Experience with EC2 ECS RDS S3 Route53
- Proficiency using Terraform
Employment Type
Full-Time
