At a Glance
- Tasks: Design and deliver innovative data solutions using Python and Databricks.
- Company: Join JPMorgan Chase, a leader in the financial services industry.
- Benefits: Career growth opportunities, diverse culture, and a collaborative environment.
- Other info: Embrace diversity and inclusion in a dynamic, agile team.
- Why this job: Make a real impact on business objectives while driving innovation.
- Qualifications: 3 years of experience in data engineering with strong Python and SQL skills.
The predicted salary is between 60000 - 80000 € 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 at JPMorgan Chase within 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. Visit our FAQs for more information about requesting an accommodation.
Data Engineer III - Python, Databricks - Senior Associate employer: TwinThread
At JPMorgan Chase, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Data Engineer III, you will not only have the opportunity to work with cutting-edge technologies like Python and Databricks but also benefit from a supportive environment that prioritises employee growth and diversity. Our commitment to excellence ensures that your contributions will make a meaningful impact while you advance your career in a dynamic and inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer III - Python, Databricks - 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 even lead to a referral, which can boost your chances of landing that Data Engineer role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects, especially those involving Python, Databricks, and SQL. Having tangible examples of your work can really impress during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Ace the interview prep! Research common data engineering interview questions and practice your answers. Be ready to discuss your experience with ELT pipelines and data security, as well as how you've used AWS in past projects.
✨Tip Number 4
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 at JPMorgan Chase. Don’t miss out on this opportunity!
We think you need these skills to ace Data Engineer III - Python, Databricks - 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, Databricks, and SQL, as these are key for the Data Engineer 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 culture. Share specific examples of your past projects that align with our goals.
Showcase Your Technical Skills:Don’t forget to mention your experience with AWS and NoSQL databases. We want to see how you've applied your technical knowledge in real-world scenarios, so be specific!
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’s super easy!
How to prepare for a job interview at TwinThread
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Databricks, and SQL. Brush up on your knowledge of AWS and NoSQL databases too. Being able to discuss your experience with these technologies confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and delivered data solutions. Think about challenges you've faced and how you overcame them. This will demonstrate your ability to innovate and contribute to the team’s success.
✨Understand the Business Impact
Familiarise yourself with how data engineering supports business objectives at JPMorgan Chase. Be ready to explain how your work can drive success and improve processes. This shows that you’re not just a techie but also understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team culture, ongoing projects, and future goals. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you. Remember, interviews are a two-way street!
