Lead Software Engineer - Pyspark
Lead Software Engineer - Pyspark
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
As a Lead Software Engineer Be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch 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 market-leading technology products in a secure stable and scalable way. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving 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 high-quality 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 function-wide 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 decision-makers to consider the use and application of leading-edge 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
- Hands-on practical experience delivering system design application development testing and operational stability
- Extensive hands-on experience with PySpark and ETL/Streaming Pipelines.
- Experience in AWS services such as SQS Lambda S3 and RDS.
- Proficiency in Alteryx Tableau ThoughtSpot and SQL.
- Knowledge and deep understanding of AWS concepts including glue and EMR.
- Advanced in one or more programming language(s) like python
- Advanced knowledge of software applications and technical processes with considerable in-depth 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 with Shell scripting Unix
- Proficiency using Terraform
- Practical LLM use case development experience using OpenAI Azure.
- Familiarity with modern LLM techniques
Employment Type
Full-Time
