Lead Data Engineer JPMC Candidate Experience page

5.0 - 9.0 years

0 Lacs

karnataka

On-site

You will be part of a dynamic team at JP Morgan Chase, dedicated to providing exceptional value and a seamless experience to customers as a trusted financial institution. Chase UK, our digital banking arm, is at the forefront of transforming the banking experience through intuitive and enjoyable customer journeys. Leveraging the strong foundation of trust built by millions of customers in the US, we are rapidly expanding our presence in the UK and soon across Europe, shaping the bank of the future. This is your opportunity to join us and create a significant impact. Your responsibilities will include delivering end-to-end data pipeline solutions on cloud infrastructure by harnessing the latest technologies and industry best practices. You will utilize domain modeling techniques to develop top-notch business products, structuring software for easy understanding, testing, and evolution. Building solutions that are resilient and scalable, you will focus on developing secure code to safeguard customers and the institution from potential threats. Timely investigation and resolution of issues, along with ensuring zero downtime during releases, will be crucial aspects of your role. Optimizing data processing, monitoring performance, and ensuring reliable and efficient systems operation will also be part of your duties. Continuous learning and updating of technologies and patterns, as well as providing support throughout the product lifecycle, including production and incident management, will be key components of your role. To excel in this role, you should possess formal training or certification in data engineering concepts, along with recent hands-on experience as a data engineer. Proficiency in coding with Python, designing effective tests, and strong written and verbal communication skills in English are essential. Experience with cloud technologies, distributed systems, data transformation frameworks, and data pipeline orchestration tools will be beneficial. Managing large volumes of data, optimizing data processing, and understanding event-based architecture, data streaming, and messaging frameworks are also important skills. Your ability to coach team members, manage stakeholders, prioritize effectively across multiple work streams, and adapt to a fast-paced environment will be valuable. Preferred qualifications include experience in a highly regulated industry, familiarity with AWS cloud technologies, expertise in data governance frameworks, understanding of incremental data processing and versioning, and knowledge of RESTful APIs and web technologies.,

Posted 1 day ago

Apply

Lead Data Engineer - Vice President Chase- Candidate Experience page

5.0 - 9.0 years

0 Lacs

karnataka

On-site

At JP Morgan Chase, we prioritize providing exceptional value and a seamless experience to our customers as a trusted financial institution. Chase UK was established with the goal of revolutionizing digital banking through intuitive and enjoyable customer journeys. Backed by the trust of millions of customers in the US, our presence in the UK is rapidly expanding, with plans to extend across Europe. We are in the process of building the bank of the future from scratch, offering you the opportunity to join us and contribute significantly to our mission. As a part of our team, your responsibilities will include delivering end-to-end data pipeline solutions on cloud infrastructure by leveraging cutting-edge technologies and industry best practices. You will apply domain modeling techniques to develop top-notch business products and structure software for enhanced understanding, testing, and evolution. Building solutions with scalable architectural patterns to avoid single points of failure, you will also prioritize developing secure code to safeguard our customers and organization from malicious threats. Timely investigation and resolution of issues, ensuring they do not recur, and facilitating zero downtime releases for end-users are crucial aspects of your role. Additionally, optimizing data reading and writing, monitoring performance, and updating technologies and patterns continuously will be part of your daily tasks. Supporting products throughout their lifecycle, including production and incident management, will also fall under your purview. To excel in this role, you should possess formal training or certification in data engineering concepts, along with recent hands-on professional experience as a data engineer. Proficiency in coding with Python, designing and implementing effective tests, and excellent written and verbal communication skills in English are essential requirements. Experience with cloud technologies, distributed systems, data transformation frameworks, and data pipeline orchestration tools is vital. Managing large volumes of data, optimizing data processing, understanding event-based architecture, data streaming, and messaging frameworks are key competencies we seek. Your ability to coach team members on coding practices, design principles, and implementation patterns, as well as manage stakeholders and prioritize effectively across multiple work streams, will be highly valued. Additionally, preferred qualifications for this role include experience in a highly regulated environment/industry, familiarity with AWS cloud technologies, expertise with data governance frameworks, understanding of incremental data processing and versioning, and knowledge of RESTful APIs and web technologies.,

Posted 1 day ago

Apply

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.