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- Tasks: Design and deliver innovative cloud technology products using Python, Databricks, and AWS.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on diversity and inclusion.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Why this job: Make a real impact in a dynamic environment while working with cutting-edge technologies.
- Qualifications: 3+ years in data engineering, proficient in Python/PySpark, and experience with cloud technologies.
- Other info: Be part of a collaborative team that values creativity and continuous improvement.
The predicted salary is between 36000 - 60000 £ per year.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a PySpark/AWS Data Engineer III at JPMorgan Chase within the Payments Technology Regulatory Reporting team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading cloud technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job Responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
- Contributes to software engineering communities of practice and events that explore new and emerging technologies.
- Adds to team culture of diversity, opportunity, inclusion, and respect.
Required Qualifications
- 3+ years hands-on practical in system design, application development, testing, and operational stability.
- Hands-on practical experience in system design, application development, testing, and operational stability.
- Proficient in coding in one or more data engineering languages/platforms - Python / PySpark / Databricks or similar.
- Working experience with both relational and NoSQL databases.
- Experience and proficiency across the data lifecycle.
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
- Overall knowledge of the Software Development Life Cycle.
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
Preferred Qualifications
- Exposure to cloud technologies Databricks, AWS MSK, EC2, EKS, S3, RDS, Lambdas.
- Exposure to payment domain streaming systems.
- Exposure to payment regulatory reporting.
Data Engineer III - Python, Databricks & AWS in London employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer III - Python, Databricks & AWS in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Databricks, and AWS. We love seeing real-world applications of your work, so make sure to highlight your best stuff.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for talented individuals like you to join our team.
We think you need these skills to ace Data Engineer III - Python, Databricks & AWS in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your hands-on experience with Python, Databricks, and AWS, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how your background aligns with our team's goals. Be sure to mention your experience in agile methodologies and your approach to problem-solving.
Showcase Your Projects: If you've worked on any notable projects, especially those involving large data sets or cloud technologies, make sure to include them. We love seeing real-world applications of your skills!
Apply Through Our Website: For the best chance of success, apply directly through our website. This ensures your application gets to the right people and shows us you're serious about joining our team.
How to prepare for a job interview at J.P. Morgan
✨Know Your Tech Stack
Make sure you’re well-versed in Python, PySpark, and Databricks. Brush up on your knowledge of AWS services like EC2 and S3, as these are crucial for the role. Be ready to discuss how you've used these technologies in past projects.
✨Showcase Problem-Solving Skills
Prepare to share specific examples where you've tackled complex technical problems. Think about times when you identified hidden issues in data or improved system architecture. This will demonstrate your ability to think beyond conventional approaches.
✨Understand Agile Methodologies
Familiarise yourself with agile practices, especially CI/CD and application resiliency. Be prepared to discuss how you've applied these methodologies in your previous roles, as they are essential for the team’s workflow.
✨Cultural Fit Matters
J.P. Morgan values diversity and inclusion, so be ready to talk about how you contribute to a positive team culture. Share experiences that highlight your respect for diverse perspectives and your commitment to fostering an inclusive environment.
