Lead Software Engineer - Databricks, PySpark, AWS

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector's 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 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 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 in coding in React.JS, Java and Java frameworks


* Experience with Shell scripting, Unix , and Python


* Experience with EC2, ECS, RDS , S3, Route53


* Profi...