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Lead Software Engineer - Databricks, PySpark, AWS

JPMorganChase
Full-time
On-site
Jersey City, New Jersey, United States
$152,000 - $215,000 USD yearly
Description

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
  • Proficiency using Terraform