What are the responsibilities and job description for the Lead Data Engineer - Branch Workplace Technology position at JPMorgan Chase?
We have an exciting and rewarding opportunity for you to take your Data engineering career to the next level.
As a Lead Data Engineer JPMorgan Chase within the Consumer & Community Bank - Branch Workplace Technology team, you serve as a expert Data Engineer on agile teams to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for leading critical data functions from architecture, modelling, transformation, modernization, migration, protection, security and governance in support of CCB Branch initiatives and objectives.
Job responsibilities
- Deliver end-to-end data solutions on cloud infrastructure leveraging the latest technologies and the best industry practices.
- Use domain modelling techniques to allow us to build best in class business products.
- Guide the evolution of logical and physical data models to support emerging business use cases and technological advancements
- Build solutions that avoid single points of failure, using scalable architectural patterns.
- Develop secure code so that our customers and ourselves are protected from malicious actors.
- Promptly investigate and fix issues and ensure they do not resurface in the future.
- Make sure our releases happen with zero downtime for our end-users and Keeping us up to date by continuously updating our technologies and patterns.
- Structure software so that it is easy to understand, test and evolve.
- See that our data is written and read in a way that's optimized for our needs.
- Keep an eye on performance, making sure we use the right approach to identify and solve problems and ensure our systems are reliable and easy to operate.
- Support the products you've built through their entire lifecycle, including in production and during incident management
Required qualifications, capabilities and skills
- Formal training or certification on data engineering concepts and 5 years applied experience.
- Recent hands-on professional experience as a data engineer
- Expertise with Relational databases like Oracle, SQL Server and Postgres
- Proficient with AWS cloud technologies and distributed systems
- Proficiency with data transformation frameworks and data pipeline orchestration tools
- Experience with data governance frameworks
- Prior experience with managing large volumes of data and optimizing data processing
- Experience in coding with Java or Python programming language and experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.)
- Excellent written and verbal communication skills
- Understanding of event-base architecture, data streaming and messaging frameworks
- Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.
- Manage stakeholders and effectively prioritize work across multiple work streams.
Preferred qualifications, capabilities and skills
- Experience in working in a highly regulated environment / industry
- Understanding of incremental data processing and versioning
- Understanding of RESTful APIs and web technologies