At a Glance
- Tasks: Design and deliver innovative data solutions using Python and SQL.
- Company: Join JPMorgan Chase, a leader in the financial services industry.
- Benefits: Career growth, collaborative culture, and diverse work environment.
- Other info: Embrace diversity and inclusion in a dynamic team setting.
- Why this job: Make a real impact on business objectives while driving innovation.
- Qualifications: 3 years of experience in data engineering and strong skills in Python and SQL.
The predicted salary is between 55000 - 65000 € per year.
Are you ready to shape the future of data engineering at JPMorgan Chase? Join a dynamic team where your unique skills will help build innovative solutions and contribute to a winning culture. You'll have opportunities for career growth, collaborate with talented professionals, and make a real impact on our business objectives. Your expertise will empower our teams and drive success across the firm.
As a Data Engineer III in our agile team, you will design and deliver reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. You will develop, test, and maintain essential data pipelines and architectures, supporting various business functions to achieve the firm's goals. Working with us, you will use your skills to drive innovation and help shape our team culture. Together, we focus on excellence, collaboration, and continuous improvement.
Job responsibilities:
- Develop workflows and ELT pipelines using Python and Databricks.
- Support review of controls to ensure sufficient protection of enterprise data.
- Implement data security using entitlements frameworks.
- Update logical or physical data models based on new use cases.
- Use SQL frequently and understand NoSQL databases.
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 3 years applied experience.
- Good working knowledge of AWS, Databricks, and Python.
- Experience across the data lifecycle.
- Advanced at SQL, including joins and aggregations.
- Working understanding of NoSQL databases.
- Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis.
- Utilize AWS Cloud Services for developing, deploying, and managing applications at scale.
- Good understanding and working knowledge of software development lifecycle tools used for configuration management, CI/CD pipelines, unit testing, regression testing, and performance testing.
Preferred qualifications, capabilities, and skills:
- Familiarity with the Standardized data layer practices (Medallion architecture).
- Exposure to Aurora Postgres and MongoDB.
- Skills in designing efficient data models including normalization, denormalization, and schema design and an understanding around relational and star schemas.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Data Engineer II - Python, SQL - Senior Associate employer: J.P. Morgan
At JPMorgan Chase, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Data Engineer II, you'll not only have the chance to work with cutting-edge technologies but also enjoy ample opportunities for professional growth in a diverse and inclusive environment. Our commitment to employee development and well-being, combined with our focus on excellence, makes us a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer II - Python, SQL - Senior Associate
✨Tip Number 1
Network like a pro! Reach out to current employees at JPMorgan Chase on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. We recommend doing some mock interviews with friends or using online platforms to practice common data engineering questions.
✨Tip Number 3
Showcase your projects! If you've built any data pipelines or worked with AWS, make sure to highlight these experiences during your discussions. Real-world examples can set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Engineer II - Python, SQL - Senior Associate
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in Python, SQL, and data engineering to show us you're the right fit for the role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Share specific examples of your past work that align with the responsibilities listed in the job description.
Showcase Your Projects:If you've worked on relevant projects, whether in a professional or personal capacity, make sure to mention them. We love seeing practical applications of your skills, especially in developing workflows and ELT pipelines.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen to join our team!
How to prepare for a job interview at J.P. Morgan
✨Know Your Tech Stack
Make sure you brush up on your Python, SQL, and any relevant tools like Databricks and AWS. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled data engineering problems. Think about the workflows and ELT pipelines you've developed and be ready to explain your thought process and the impact of your solutions.
✨Understand the Business Context
Familiarise yourself with JPMorgan Chase's business objectives and how data engineering plays a role in achieving them. This will help you connect your technical skills to their needs and demonstrate that you're not just a techie but also a strategic thinker.
✨Ask Insightful Questions
Prepare thoughtful questions about the team culture, ongoing projects, and future challenges they face. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
