Senior Lead Software Engineer -Python and Databricks - #1766299

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 Senior Lead Software Engineer at JPMorgan Chase within the Global Banking, Data, Analytics & Technology division, you will be an integral part of an agile team dedicated to advancing, creating, and deploying high-quality technology products, prioritizing security, stability, and scalability. Your profound technical knowledge and problem-solving skills will have a substantial impact on the business, as you address a variety of challenges across numerous 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 proficient advanced experience


• Hands-on practical experience delivering system design, application development, testing, and operational stability


• Advanced in one or more programming language(s), Python is required 


• 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


• Experience performing data analytics on AWS platforms


• Experience in writing efficient SQL's, implementing complex ETL transformations on big data platform.


• Experience in a Big Data technologies (Spark, Impala, Hive, Redshift, Kafka, etc.)


• Experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issues


• Experience with Databricks, Snowflake, Iceberg  are required 

Preferred qualifications, capabilities, and skills

• Experience in application and data design disciplines with an emphasis on real-time processing and delivery e.g. Kafka is preferable


• Understanding of the Commercial & Investment Bank business will be useful.


• Proficiency across the full range of database and business intelligence tools; publishing and presenting information in an engaging way is a plus


• Financial Services and Commercial and Investment Banking experience is a plus


• Familiarity with NoSQL database platforms(DynamoDB, Cassandra) is a plus


• Familiarity with relational database environment (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc.