Looking to take your Data Engineering career to the next level? JPMorgan Chase & Co., one of the world’s largest and most respected financial institutions, is hiring Data Engineer III professionals in Bengaluru, Karnataka. If you have experience with Python, AWS, Spark/PySpark, SQL, Data Pipelines, and Cloud Data Engineering, this is an outstanding opportunity to work on enterprise-scale data platforms that power critical financial services used by millions of customers worldwide.
Whether you’re passionate about cloud-native architecture, real-time data processing, or building highly resilient data platforms, this opportunity provides excellent technical challenges, career growth, and attractive compensation.
📌 Position Details
- 🏢 Company: JPMorgan Chase & Co.
- 💼 Role: Data Engineer III
- 📍 Location: Bengaluru, Karnataka, India
- 🏢 Work Model: Hybrid / Office (As per business requirements)
- 💼 Employment Type: Full-Time
- 🎓 Qualification: Bachelor’s Degree in Computer Science, Engineering, or related field
- 💼 Experience: Experienced Data Engineers / Backend Engineers
- ☁️ Primary Cloud: AWS
- 🛠️ Core Skills: Python, Spark, PySpark, SQL, AWS, Data Engineering, Airflow, CI/CD
🌍 About JPMorgan Chase & Co.
JPMorgan Chase & Co. is one of the world’s largest financial institutions with operations in over 100 countries. Serving millions of consumers, businesses, governments, and institutional clients, the company is a global leader in investment banking, commercial banking, asset management, consumer banking, and financial technology.
Its engineering teams build high-performance systems capable of processing enormous volumes of financial transactions every day while maintaining exceptional reliability, security, and compliance standards.
Working at JPMorgan Chase gives engineers the opportunity to solve complex technical problems at a global scale while collaborating with some of the industry’s best technology professionals.
🌟 Why This Role is Great
This Data Engineer III position is an excellent opportunity for professionals who want to work with modern cloud-native data platforms and enterprise-scale distributed systems.
Key Benefits
- ✅ Work for one of the world’s largest financial institutions
- ✅ Build large-scale cloud data platforms
- ✅ Hands-on AWS experience
- ✅ Work with Spark & PySpark
- ✅ Exposure to distributed computing
- ✅ Modern DevOps and CI/CD practices
- ✅ Global engineering collaboration
- ✅ Excellent compensation and benefits
- ✅ Long-term career growth
- ✅ Opportunity to work with cutting-edge financial technology
💻 Skills Required
The ideal candidate should possess experience in the following technologies:
Programming
- Python
- SQL
Big Data Technologies
- Spark
- PySpark
Cloud
- AWS
- AWS Glue
Data Engineering
- Data Pipelines
- Data Lake
- Data Warehouse
- ETL
- Distributed Computing
Data Tools
- dbt
- Glue
- Trino
- Airflow
- AWS Step Functions
Backend Technologies
- REST APIs
- Microservices
DevOps
- CI/CD
- Infrastructure as Code
- Agile
- Automation
Preferred Skills
- Docker
- Kubernetes
- Kafka
- Spark Streaming
- TypeScript
- React
- AWS Certifications
📋 Key Responsibilities
As a Data Engineer III, you will:
- Design scalable cloud-based data platforms.
- Build reliable data pipelines.
- Develop backend services and APIs.
- Build microservices supporting enterprise data workflows.
- Optimize large-scale data processing.
- Work with Spark and PySpark.
- Build cloud-native AWS solutions.
- Implement CI/CD pipelines.
- Maintain data quality and integrity.
- Support analytics and reporting platforms.
- Collaborate with global engineering teams.
- Improve performance, scalability, and resilience.
💰 Expected Salary Range
JPMorgan Chase has not officially disclosed compensation for this role. Based on current market trends in Bengaluru:
| Experience | Estimated Salary |
|---|---|
| Mid-Level Data Engineer | ₹22–30 LPA |
| Senior Data Engineer | ₹30–40 LPA |
| Highly Experienced Candidates | ₹40–50+ LPA |
Actual compensation depends on experience, technical expertise, interview performance, and company policies.
🎯 Expected Interview Rounds
Candidates can generally expect the following interview process:
📝 Round 1 – Online Coding Assessment
💻 Round 2 – Technical Interview
☁️ Round 3 – System Design Interview
🤝 Round 4 – Managerial Interview
👨💼 Round 5 – HR Interview
📚 Preparation Tips
Master Python
Practice:
- Functions
- Classes
- Generators
- Exception Handling
- Performance Optimization
Strengthen SQL
Revise:
- Joins
- CTEs
- Window Functions
- Indexing
- Query Optimization
Learn Spark
Focus on:
- DataFrames
- RDDs
- Spark SQL
- Transformations
- Actions
- Performance Tuning
Understand AWS
Revise:
- S3
- Glue
- EC2
- IAM
- Lambda
- Step Functions
Practice System Design
Study:
- Data Lakes
- ETL Architecture
- Data Pipelines
- Distributed Systems
- Scalability
Prepare Projects
Be ready to explain:
- Cloud Architecture
- Pipeline Design
- Performance Improvements
- Business Impact
- Challenges Solved
📝 Resume Tips
Your resume should clearly highlight:
- ✅ Python Projects
- ✅ AWS Experience
- ✅ Spark/PySpark Projects
- ✅ SQL Expertise
- ✅ Data Pipelines
- ✅ ETL Development
- ✅ CI/CD Experience
- ✅ Airflow
- ✅ dbt
- ✅ Cloud Certifications
- ✅ Performance Optimizations
- ✅ GitHub Projects (if applicable)
Use ATS-friendly keywords such as:
Data Engineer, Python, Spark, PySpark, AWS, SQL, ETL, Data Pipeline, Data Lake, Data Warehouse, Glue, Airflow, dbt, Trino, Kafka, CI/CD, Microservices, REST API, Distributed Systems, Docker, Kubernetes, Cloud Data Engineering, Big Data, AWS Glue, Infrastructure as Code.
📜 Recommended Certifications
To strengthen your profile, consider certifications in:
- AWS Certified Data Engineer – Associate
- AWS Solutions Architect – Associate
- Databricks Data Engineer
- Apache Spark
- dbt Fundamentals
- Airflow Fundamentals
- Docker & Kubernetes
- Python for Data Engineering
📩 How to Apply
Ready to take the next step in your career?
👉 Application Link: Click Here
🤝 Referral Tip
Want to improve your chances of getting noticed?
Connect with someone at JPMorganChase and request a referral—it can significantly enhance your visibility in the hiring process.
🎯 Final Thoughts
The Data Engineer III role at JPMorgan Chase & Co. is an outstanding opportunity for experienced engineers who want to work on enterprise-scale cloud data platforms, distributed systems, and modern data engineering technologies. 🚀
With exposure to AWS, Spark, PySpark, SQL, Airflow, dbt, microservices, and CI/CD, this role provides an excellent environment to deepen your technical expertise while contributing to mission-critical financial systems.
Best of luck with your JPMorgan Chase Data Engineer III application and your next step toward an exciting career in enterprise data engineering! 🌟💻
