Job responsibilities
- Execute 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
- Develop secure high-quality production code, and reviews and debugs code written by others
- Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Lead 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
- Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Implement ETL processes to ensure seamless data integration from multiple sources.
- Innovate and deliver high-quality solutions with a strong motivation to achieve results.
- Apply test-driven development and testing frameworks to ensure robust data solutions.
- Collaborate with cross-functional teams, demonstrating strong interpersonal skills and a team-building attitude.
- Add to team culture of diversity, equity, inclusion and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts andapplied experience
- Develop and maintain data pipelines using Postgres (AWS Aurora) and other technologies.
- Perform performance tuning to optimize data systems and processes, performance and benchmarking of systems experience and skillset is required.
- Hands on-experience of analysis, solutioning and troubleshooting developments in programming languages such as Python and Java to build scalable data solutions.
- Utilize messaging technologies like Kafka to manage data streams effectively.
- Work with data formats such as JSON and XML to ensure data compatibility and integrity.
- Participate in Agile development methodologies to deliver projects efficiently.
- Use version control tools like Bit Bucket and GIT to manage code and collaborate with team members.
Preferred qualifications, capabilities, and skills
- Experience in the Wealth Management domain is a plus.
- Familiarity with container technologies like Kubernetes and Docker and knowledge of building microservices architecture.
- Experience with distributed caches to enhance data retrieval performance.
- Proficiency in monitoring tools like Splunk and Dynatrace for system analysis.
- Experience in building REST APIs to facilitate data access and integration.