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Chase · 3 months ago

Lead Software Engineer-Cloud Data/Python/Java/Spark

880 Powder Mill Rd, Wilmington, DE, 19803, US

Full-time

Onsite

Senior Level

5+ years exp

Chase is a leading financial services firm, and they are seeking a Lead Software Engineer-Cloud Data/Python/Java/Spark to join their Home Lending and Servicing team. The role involves developing and deploying scalable data solutions on AWS, enhancing software applications, and mentoring junior engineers while staying current with cloud advancements.

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

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

Architect, develop, and deploy scalable data pipelines and solutions on AWS using services such as S3, Redshift, Glue, EMR, Lambda, and Athena

Create and optimize data models, build robust ETL processes, and ensure efficient ingestation, transformation, and storage

Monitor, troubleshoot, and tune data pipelines and cloud resources for optimal performance, reliability, and cost efficiency

Maintain comprehensive documentation of data architectures, processes and best practices; mentor junior engineers and share knowledge within the team

Stay current with AWS advancements, evaluate new services and tools, and drive continuous improvement in cloud data engineering practices

Qualification

AWS servicesApache SparkPythonJavaSQLAWS CertificationsInfrastructure automationAgile methodologiesSoftware Development Life CycleRelational databasesData modelingMentoring

Required

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

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

Hands-on professional experience in one or more programming language(s), including Java or Python, proficiency in Python, SQL, and at least one additional language (e.g. Java or Scala) for data engineering tasks

Hands-on experience utilizing Apache Spark for large-scale data processing, including developing and optimizing data pipelines, performing real-time and batch analytics, and leveraging Spark's libraries for machine learning and data transformation to drive actionable business insights

Experience with infrastructure automation tools such as AWS CloudFormation or Terraform

Proficiency in all aspects of the Software Development Life Cycle

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

Demonstrated experience in system design, including architecting scalable and reliable solutions, selecting appropriate technologies, defining system components and their interactions, and ensuring alignment with business requirements and performance goals through detailed documentation and collaborative design reviews

Experience with AWS services related to data storage and management, such as AWS Aurora, DynamoDB, S3, and RDS

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

AWS Certifications

Preferred

Extensive experience working with relational databases such as Oracle, MySQL, and SQL Server, including designing schemas, writing complex queries, optimizing performance, and ensuring data integrity for a variety of business applications

Snowflake experience is a plus

Databricks experience is a plus