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 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.
- Lead efforts to migrate on premise legacy workloads to the cloud, including the migration of legacy databases to cloud data warehouses.
- Develop tooling and platforms to enhance the experience of analytic users.
- 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.
- Proven experience in designing, developing, and implementing data modernization solutions.
- Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud, with hands-on experience in migrating on-premises data warehouses to the cloud.
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- Advanced in one or more programming language(s).
- 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, Application Resiliency, and Security
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
- In-depth knowledge of the financial services industry and their IT systems.
Preferred qualifications, capabilities, and skills
- Experience in re-engineering and migrating on-premises data solutions to and for the cloud.
- Hands-on expertise in ETL/Data pipeline and data lake platforms like Spark/Hadoop/Databricks/EMR.
- Experience in Infrastructure as Code (Terraform) for Cloud based data infrastructure.
- Experience in building on emerging cloud serverless managed services, to minimize/eliminate physical/virtual server footprint.