We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector Technology, Data & Analytics Service, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities:

Provides guidance to immediate team of software engineers on daily tasks and activities Sets the overall guidance and expectations for team output, practices, and collaboration Anticipates dependencies with other teams to deliver products and applications in line with business requirements Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements Creates a culture of diversity, equity, inclusion, and respect for the team members and prioritizes diverse representation

Required qualifications, capabilities, and skills:

Must be hands on with experience in data mapping, data architecture, and data modeling on Databricks Extensive experience in AWS, Design, implementation, and maintenance of data pipelines using Python, pyspark on Databricks Strong proficiency in Python, and PySpark, able to write and execute complex queries to perform curation and build views required by end users (single and multi-dimensional) Extensive experience in Databricks Data engineering (Job Runs, Data Ingestion and Delta Live Tables, Spark Streaming) Experienced in standing up and maintaining EC2 instances, Kubernetes clusters and Lambda services Strong experience in building Notebooks with complex code structures and debugging failed jobs. Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck Proven ability to deliver high quality features into production system in a rapid paced, iterative development environment.

Preferred qualifications, capabilities, and skills:

Experience working at code level. Strong in AWS cloud & Spark, Databricks. Strong Python skills. Experience in UI design using React.