Senior Lead Software Engineer -Python and Databricks

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 play a pivotal role in an agile team committed to enhancing, creating, and delivering high-quality technology products securely, stably, and on a scalable basis. Your abilities and contributions will significantly influence the business, and your deep technical knowledge and problem-solving tactics will be utilized to tackle a broad spectrum of challenges across diverse 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 applied 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

• 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.