Lead Data Engineer - Vice President

JPMorgan Chase Bank

11 - 17 years

50 - 60 Lacs

hyderabad ahmedabad bengaluru

Posted:5 days ago| Platform:

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Skills Required

web technologies architecture coding data governance data processing incident management distribution system analytics python core banking

Work Mode

Work from Office

Job Type

Full Time

Job Description

As a Lead Data Engineer at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers
You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team
We are seeking individuals with a curious mindset and a keen interest in new technology
Our engineers are naturally solution-oriented and possess an interest in the ficial sector and focus on addressing our customer needs
We work in teams focused on specific banking functions and products, providing opportunities to build data pipelines and reporting capabilities for functional areas such as fice and business management, treasury operations, ficial crime prevention, regulatory reporting and analytics
We collaborate with product teams such as card payments, electronic payments, lending, customer onboarding, core banking, and insurance to understand their product data models and deliver tailored data solutions that meet business needs

Job responsibilities

Deliver end-to-end data pipeline 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.
Structure software so that it is easy to understand, test and evolve.
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.
See that our data is written and read in a way thats 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
Experience in coding in a recent version of the Python programming language and e xperience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc)
Excellent written and verbal communication skills in English
Experience with AWS cloud technologies and distributed systems
Experience with data transformation frameworks and data pipeline orchestration tools
Experience with managing large volumes of data and optimizing data processing
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
Experience with data goverce frameworks
Understanding of incremental data processing and versioning
Understanding of RESTful APIs and web technologies

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