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 CONSUMER & COMMUNITY BANKING, Data Technology space you will be responsible for building and driving a core team of java and big data engineers focused on data ingest, data transformation and data consumption technologies. 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 firm wide 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 respectRequired qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5 years applied experience Advanced experience in one or more programming language(s) - Spark leveraging Python, Java etc. Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g. Bigdata technologies - Hadoop/Cloudera/HortonWorks, Spark etc.) Experience in RDBMS Databases - Oracle, Teradata, or any other RDBMS. Hands on experience with AWS services, specifically data storage, compute, analytics Development experience using AWS analytics services such as Athena, Redshift, Lake Formation, Glue, QuickSight, Tableau and EMR Experience in Continuous Integration/Continuous Development (e.g. GIT, Jenkins, Maven) Expertise in Data governance and Data Quality Ability to tackle design and functionality problems independently with little to no oversight Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Experience in Data ETL and Reporting Has successfully demonstrated delivery of big data projects using Kafka Experience in developing software solutions leveraging Test Driven Development (TDD) Experience working with Snowflake preferred, Databricks or delta lake is a plus