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 Data Lake Engineer at JPMorgan Chase within the Corporate Technology, Chief Data and Analytics Office Development Team, you will play a pivotal role in an agile team committed to enhancing, developing, and delivering high-quality, reliable technology products securely, stably, and scalably. Your skills in problem-solving and your extensive technical knowledge will be utilized to tackle a broad spectrum of challenges across diverse technologies and applications, significantly influencing the business.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Creates complex and scalable coding frameworks using appropriate software design frameworks
• Develops secure and high quality production code, and reviews and debugs code written by the team
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• 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
• Exposure to cloud technologies (AWS or GCP) via hands on experience or certification
• Solid understanding of software applications and technical processes within a related technical discipline (e.g. data ingestion, data storage, data serving, APIs, etc.).
• Hands-on experience in data lake or data warehouse and related technologies (e.g. Spark, ETL, Databricks).
• Hands-on applied experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming languages, such as Java or Python
• 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

• Exposure to cloud technologies (AWS or GCP) via hands on experience or certification
• Advanced in other programming languages, such as Java