Senior Software Developer Spark and Hive in Caseware

Caseware is one of Canada's original Fintech companies, having led the global audit and accounting software industry for over 30 years, with more than 500,000 users across 130 countries and available in 16 different languages. While you might not have heard of us (yet) over 36,000 accounting and audit professionals list Caseware as a skill on their LinkedIn profiles!

As a Senior Software Developer at CaseWare, you’ll design, develop, test and deploy microservices and data processing resources to support the import and analysis of data in our Cloud. You will collaborate with multiple upstream and downstream squads to design and deliver complex and innovative solutions to support the import of large data sets and concurrent processing at scale. You will be a part of the Data Analytics team that enables data extraction from various sources providing simplified reporting, tailored analytics and risk management.

• Actively participate in the designing of the initiatives planned
• Facilitate design discussions for the features that your squad implements
• Understand and contribute to the existing architecture and propose enhancements
• Implement proof of concepts
• Actively participate in code reviews
• Review and optimize the existing SDLC practices
• Take full ownership for a couple of modules in the Data Analytics architecture
• Convert proofs of concept into MVPs
• Represent the team in technical discussions with Team Leads, Product, Design, and all other external stakeholders
• Lead and execute development tasks through all SDLC phases working in an Agile development environment including all sprint ceremonies
• Take on partial DevOps responsibilities as required for the services being developed by the team
• Drive operational excellence by identifying and eliminating persistent root causes for problems that affect your customers and team.

• Strong experience in designing, developing, testing and deploying microservices using Java 11 + Spring Boot + GitHub Actions + AWS
• Design and develop real-time and batch data transformation processes using technologies such as Hadoop, Spark Stream, Spark SQL, Java, Hive and Iceberg
• Developed production-ready Spark applications using Spark RDD APIs, Dataframes, Datasets, Spark SQL and Spark Streaming
• Worked in ETL projects, manipulating small (~1KB) to large (~10GB) datasets
• Strong SQL knowledge with skills to analyze & write complex SQL queries
• Participate in peer code review sessions, providing feedback
• Conduct unit testing, write automated testing working in a trunk-based lifecycle
• Mentor developers on design and coding best practices, quality, performance, and security

• Exposure to Serverless architectures
• Experience with asynchronous messaging systems
• Experience working in ETL projects using AWS EMR
• Understanding of various infrastructures — Hybrid, On-Premise and Cloud
• AWS Solutions Architect Associate/Professional level

• Permanent contract with all the legal benefits
• Competitive compensation — above the market average
• 100% remote work environment and an excellent work-life balance
• Opportunity to work for a growing global SaaS leader company
• A culture that promotes independence, innovation, trust, and accountability
• Open space to be creative, innovative and strategize for the future