This job has closed.

Chase · 5 months ago

Lead Software Engineer - AWS, PySpark, Databricks

1111 Polaris Pkwy, Columbus, OH, 43240, US

Full-time

Onsite

Senior Level

5+ years exp

Chase is a leading financial services firm, and they are seeking a Lead Software Engineer to join their Corporate Technology Workforce Data Analytics team. This role involves implementing critical technology solutions, enhancing and delivering secure and scalable products, and driving the use of new technologies within the team.

BankingFinancial Services

Responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

Execute creative data solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems

Develop secure high-quality production data pipelines, and review and debug data processes implemented by others

Develops secure high-quality production code, and reviews and debugs code written by others

Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Adds to team culture of diversity, opportunity, inclusion, and respect

Qualification

Data EngineeringAWSPySparkDatabricksAutomationAgile methodologiesSoftware engineeringContinuous deliveryFinancial services knowledgeCloud native experienceTechnical troubleshootingTeam cultureOperational stability

Required

Formal training or certification on software engineering concepts and 5+ years applied experience

7+ years of experience in Data Engineering, specifically design, application development, testing and operational stability

Advanced proficiency in data processing frameworks and tools, including knowledge of Parquet, Iceberg, PySpark, Glue, Lambda, Databricks and AWS

Proficiency in automation and continuous delivery methods

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

Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

In-depth knowledge of the financial services industry and their IT systems

Practical cloud native experience