Data Engineer II - AWS

Location: Bengaluru, Karnataka, India

Job Family: Data Engineering

About the Role

At JP Morgan Chase, we are a leading global financial services firm committed to innovation and excellence in banking, investment, and asset management. As a Data Engineer II - AWS in our Bengaluru technology hub, you will join an agile team dedicated to enhancing, designing, and delivering cutting-edge data collection, storage, access, and analytics solutions. This role is pivotal in supporting our financial services operations by building robust data infrastructures that drive informed decision-making, risk management, and customer insights across our global network. Working in the heart of India's vibrant tech ecosystem, you will contribute to projects that handle petabytes of sensitive financial data while adhering to stringent compliance standards like those set by RBI and international regulators. Your primary focus will be on leveraging AWS to create scalable, secure data pipelines that integrate diverse sources such as transaction records, market data, and client portfolios. You will collaborate closely with data scientists, business analysts, and stakeholders to translate complex financial requirements into efficient technical solutions, ensuring seamless data flow for analytics platforms that power everything from algorithmic trading to personalized banking services. In this dynamic environment, you will employ tools like AWS Glue for ETL orchestration and Redshift for warehousing, while optimizing for cost-efficiency and performance in a high-stakes financial landscape. We value innovation and continuous learning, offering opportunities to work on transformative initiatives that impact millions of customers worldwide. As part of JP Morgan Chase's commitment to diversity and inclusion, this role encourages a collaborative culture where your expertise in data engineering can thrive. If you are passionate about harnessing technology to solve real-world financial challenges, join us in Bengaluru to shape the future of data-driven finance.

Key Responsibilities

• Design and implement scalable data pipelines on AWS to support financial analytics and reporting
• Collaborate with data scientists and analysts to enhance data collection and storage solutions
• Optimize data access and processing for real-time financial insights in a secure environment
• Develop and maintain ETL processes to ensure data quality and compliance with regulatory standards
• Troubleshoot and resolve data-related issues in production systems
• Participate in agile sprints to deliver innovative data solutions for JP Morgan's global operations
• Integrate machine learning models into data workflows for fraud detection and risk assessment
• Document data architectures and contribute to best practices in the team
• Monitor and scale AWS infrastructure to handle high-volume financial transactions

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field
• 3-5 years of experience in data engineering roles, preferably in financial services
• Proficiency in AWS services including S3, Glue, EMR, Lambda, and Redshift
• Strong programming skills in Python, Java, or Scala
• Experience with ETL processes and data pipelines using tools like Apache Spark or Airflow
• Knowledge of SQL and NoSQL databases
• Ability to work in an agile environment with cross-functional teams

Preferred Qualifications

• Master's degree in a quantitative field
• Experience in financial data handling, compliance, and risk management
• Certifications such as AWS Certified Data Analytics or Solutions Architect
• Familiarity with big data technologies like Hadoop and Kafka
• Prior work in a large-scale banking environment like JP Morgan Chase

Required Skills

• AWS cloud services expertise
• Python or Java programming
• ETL pipeline development
• SQL and database management
• Apache Spark and big data processing
• Agile methodologies
• Data modeling and architecture
• Problem-solving and analytical thinking
• Collaboration and communication skills
• Financial regulations knowledge (e.g., GDPR, SOX)
• Version control with Git
• CI/CD pipelines
• Machine learning integration
• Performance optimization
• Attention to detail in secure environments

Benefits

• Competitive base salary and performance-based bonuses
• Comprehensive health, dental, and vision insurance coverage
• Retirement savings plan with company matching contributions
• Paid time off, including vacation, sick leave, and parental leave
• Professional development programs and tuition reimbursement
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness initiatives
• Global mobility opportunities within JP Morgan Chase

JP Morgan Chase is an equal opportunity employer.