Sr. Java Spark Developer
Jersey City, NJ, United States
Job Description: 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:
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 and high-quality production code, and reviews and debugs code written by others.
Develop and maintain ETL pipelines for data ingestion and transformations into Snowflake.
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, equity, inclusion, and respect.
Required qualifications, capabilities, and skills: 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.
Advanced in one or more programming language(s) - Java 8+ (experience with lambdas and streams)
Hands-on experience in Spark leveraging Java 8
Proficiency in automation and continuous delivery methods
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
In-depth knowledge of the financial services industry and their IT systems
Strong communication and collaboration skills to work effectively with cross-functional teams.
Experience with designing and implementing ETL pipelines using AWS services like AWS Glue, AWS Lambda
Strong proficiency in data modelling and SQL.