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Chase · 1 month ago

Lead Data Engineer - Branch Workplace Technology

370 S Cleveland Ave, Westerville, OH, 43081, US

Full-time

Onsite

Senior Level, Lead/Staff

5+ years exp

Chase is a leading financial services firm, and they are seeking a Lead Data Engineer within the Consumer & Community Bank - Branch Workplace Technology team. The role involves designing and delivering data solutions while leading critical data functions to support Branch initiatives and objectives.

BankingFinancial Services

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

Qualification

Data engineering certificationAWS cloud technologiesRelational databasesData transformation frameworksJava programmingPython programmingData governance frameworksData pipeline orchestrationEvent-based architectureStakeholder managementCommunication skills

Required

Formal training or certification on data engineering concepts and 5+ years applied experience

Recent hands-on professional experience as a data engineer

Experience with Relational databases like Oracle, SQL Server and Postgres

Experience with AWS cloud technologies and distributed systems

Experience with data transformation frameworks and data pipeline orchestration tools

Experience with data governance frameworks

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