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Software Engineer III - Data Engineer (S3, Snowflake, Tableau, Python/Java)

JP Morgan Chase

Software Engineer III - Data Engineer (S3, Snowflake, Tableau, Python/Java)

JP Morgan Chase logo

JP Morgan Chase

full-time

Posted: December 11, 2025

Number of Vacancies: 1

Job Description

Software Engineer III - Data Engineer (S3, Snowflake, Tableau, Python/Java)

Location: Bengaluru, Karnataka, India

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial services innovation, powering global markets with cutting-edge technology. As a Software Engineer III - Data Engineer in our Bengaluru team, you will play a pivotal role in designing and delivering secure, scalable data solutions that drive our investment banking and asset management divisions. Leveraging tools like Snowflake for robust data warehousing, Tableau for insightful visualizations, and Python/Java for efficient pipeline development, you will contribute to agile teams building products that handle petabytes of sensitive market data while adhering to stringent regulatory requirements. This position offers the opportunity to work on high-impact projects that enhance trading efficiency, risk assessment, and client services in one of the world's leading financial institutions. Your day-to-day will involve collaborating with data scientists, analysts, and stakeholders to translate complex financial requirements into actionable data architectures. You will optimize Snowflake environments to support real-time analytics for global trading floors, develop custom ETL processes in Python to ingest diverse data sources, and craft Tableau dashboards that empower executives with clear, data-driven insights. In this S3-level role, you will uphold JP Morgan Chase's commitment to security by implementing best practices for data encryption, access controls, and audit trails, ensuring compliance with standards like GDPR and SEC regulations. This is an exciting chance to innovate within a supportive, inclusive culture that values diverse perspectives and continuous learning. Joining JP Morgan Chase means becoming part of a legacy of excellence in financial technology, with access to world-class resources and career growth opportunities. Based in Bengaluru, Karnataka, India, this role is ideal for seasoned engineers passionate about the intersection of data engineering and finance. If you thrive in dynamic environments and are eager to shape the future of banking through technology, we invite you to bring your expertise to our team and help us deliver unparalleled value to clients worldwide.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Python and Java to process large volumes of financial market data
  • Implement and optimize data solutions on Snowflake to ensure high availability and performance for trading and analytics teams
  • Create interactive dashboards and visualizations in Tableau to support business intelligence needs in risk management and compliance
  • Collaborate with cross-functional agile teams to deliver secure, market-leading technology products for JP Morgan Chase's global operations
  • Ensure data integrity, security, and compliance with regulatory standards in the financial services sector
  • Troubleshoot and resolve complex data engineering issues in production environments
  • Participate in code reviews, testing, and deployment processes to maintain high-quality deliverables
  • Innovate and integrate emerging technologies to enhance data-driven decision-making in investment banking
  • Mentor junior engineers and contribute to the team's knowledge-sharing initiatives

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 5+ years of experience in software engineering with a focus on data engineering
  • Proficiency in Python and Java for building scalable data pipelines
  • Hands-on experience with Snowflake for data warehousing and analytics
  • Experience with Tableau for data visualization and dashboard creation
  • Strong understanding of agile methodologies and secure software development practices
  • Ability to work in a fast-paced environment handling sensitive financial data

Preferred Qualifications

  • Master's degree in a relevant technical field
  • Experience in the financial services industry, particularly with market data or risk analytics
  • Familiarity with cloud platforms like AWS or Azure integrated with Snowflake
  • Certifications in Snowflake, Tableau, or AWS
  • Prior work at a large-scale financial institution like JP Morgan Chase

Required Skills

  • Python programming
  • Java development
  • Snowflake data warehousing
  • Tableau visualization
  • SQL and data querying
  • ETL pipeline design
  • Agile/Scrum methodologies
  • Cloud computing (AWS/Azure)
  • Data security and compliance
  • Problem-solving and debugging
  • Collaboration and teamwork
  • Financial data analytics
  • Version control (Git)
  • Big data technologies (e.g., Spark)
  • Communication skills

Benefits

  • Competitive base salary and performance-based bonuses aligned with financial industry standards
  • Comprehensive health, dental, and vision insurance coverage for employees and families
  • Retirement savings plan with generous company matching contributions
  • Paid time off, including vacation, sick leave, and parental leave policies
  • Professional development opportunities, including tuition reimbursement and access to JP Morgan's learning platforms
  • Employee stock purchase plan and other financial wellness programs
  • Flexible work arrangements, including hybrid options in Bengaluru
  • Wellness programs, gym memberships, and mental health support services

JP Morgan Chase is an equal opportunity employer.

Locations

  • Bengaluru, IN

Salary

Estimated Salary Rangehigh confidence

4,500,000 - 7,500,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Python programmingintermediate
  • Java developmentintermediate
  • Snowflake data warehousingintermediate
  • Tableau visualizationintermediate
  • SQL and data queryingintermediate
  • ETL pipeline designintermediate
  • Agile/Scrum methodologiesintermediate
  • Cloud computing (AWS/Azure)intermediate
  • Data security and complianceintermediate
  • Problem-solving and debuggingintermediate
  • Collaboration and teamworkintermediate
  • Financial data analyticsintermediate
  • Version control (Git)intermediate
  • Big data technologies (e.g., Spark)intermediate
  • Communication skillsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field (experience)
  • 5+ years of experience in software engineering with a focus on data engineering (experience)
  • Proficiency in Python and Java for building scalable data pipelines (experience)
  • Hands-on experience with Snowflake for data warehousing and analytics (experience)
  • Experience with Tableau for data visualization and dashboard creation (experience)
  • Strong understanding of agile methodologies and secure software development practices (experience)
  • Ability to work in a fast-paced environment handling sensitive financial data (experience)

Preferred Qualifications

  • Master's degree in a relevant technical field (experience)
  • Experience in the financial services industry, particularly with market data or risk analytics (experience)
  • Familiarity with cloud platforms like AWS or Azure integrated with Snowflake (experience)
  • Certifications in Snowflake, Tableau, or AWS (experience)
  • Prior work at a large-scale financial institution like JP Morgan Chase (experience)

Responsibilities

  • Design, develop, and maintain scalable data pipelines using Python and Java to process large volumes of financial market data
  • Implement and optimize data solutions on Snowflake to ensure high availability and performance for trading and analytics teams
  • Create interactive dashboards and visualizations in Tableau to support business intelligence needs in risk management and compliance
  • Collaborate with cross-functional agile teams to deliver secure, market-leading technology products for JP Morgan Chase's global operations
  • Ensure data integrity, security, and compliance with regulatory standards in the financial services sector
  • Troubleshoot and resolve complex data engineering issues in production environments
  • Participate in code reviews, testing, and deployment processes to maintain high-quality deliverables
  • Innovate and integrate emerging technologies to enhance data-driven decision-making in investment banking
  • Mentor junior engineers and contribute to the team's knowledge-sharing initiatives

Benefits

  • general: Competitive base salary and performance-based bonuses aligned with financial industry standards
  • general: Comprehensive health, dental, and vision insurance coverage for employees and families
  • general: Retirement savings plan with generous company matching contributions
  • general: Paid time off, including vacation, sick leave, and parental leave policies
  • general: Professional development opportunities, including tuition reimbursement and access to JP Morgan's learning platforms
  • general: Employee stock purchase plan and other financial wellness programs
  • general: Flexible work arrangements, including hybrid options in Bengaluru
  • general: Wellness programs, gym memberships, and mental health support services

Target Your Resume for "Software Engineer III - Data Engineer (S3, Snowflake, Tableau, Python/Java)" , JP Morgan Chase

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Tags & Categories

Software EngineeringFinancial ServicesBankingJP MorganSoftware Engineering

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JP Morgan Chase logo

Software Engineer III - Data Engineer (S3, Snowflake, Tableau, Python/Java)

JP Morgan Chase

Software Engineer III - Data Engineer (S3, Snowflake, Tableau, Python/Java)

JP Morgan Chase logo

JP Morgan Chase

full-time

Posted: December 11, 2025

Number of Vacancies: 1

Job Description

Software Engineer III - Data Engineer (S3, Snowflake, Tableau, Python/Java)

Location: Bengaluru, Karnataka, India

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial services innovation, powering global markets with cutting-edge technology. As a Software Engineer III - Data Engineer in our Bengaluru team, you will play a pivotal role in designing and delivering secure, scalable data solutions that drive our investment banking and asset management divisions. Leveraging tools like Snowflake for robust data warehousing, Tableau for insightful visualizations, and Python/Java for efficient pipeline development, you will contribute to agile teams building products that handle petabytes of sensitive market data while adhering to stringent regulatory requirements. This position offers the opportunity to work on high-impact projects that enhance trading efficiency, risk assessment, and client services in one of the world's leading financial institutions. Your day-to-day will involve collaborating with data scientists, analysts, and stakeholders to translate complex financial requirements into actionable data architectures. You will optimize Snowflake environments to support real-time analytics for global trading floors, develop custom ETL processes in Python to ingest diverse data sources, and craft Tableau dashboards that empower executives with clear, data-driven insights. In this S3-level role, you will uphold JP Morgan Chase's commitment to security by implementing best practices for data encryption, access controls, and audit trails, ensuring compliance with standards like GDPR and SEC regulations. This is an exciting chance to innovate within a supportive, inclusive culture that values diverse perspectives and continuous learning. Joining JP Morgan Chase means becoming part of a legacy of excellence in financial technology, with access to world-class resources and career growth opportunities. Based in Bengaluru, Karnataka, India, this role is ideal for seasoned engineers passionate about the intersection of data engineering and finance. If you thrive in dynamic environments and are eager to shape the future of banking through technology, we invite you to bring your expertise to our team and help us deliver unparalleled value to clients worldwide.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Python and Java to process large volumes of financial market data
  • Implement and optimize data solutions on Snowflake to ensure high availability and performance for trading and analytics teams
  • Create interactive dashboards and visualizations in Tableau to support business intelligence needs in risk management and compliance
  • Collaborate with cross-functional agile teams to deliver secure, market-leading technology products for JP Morgan Chase's global operations
  • Ensure data integrity, security, and compliance with regulatory standards in the financial services sector
  • Troubleshoot and resolve complex data engineering issues in production environments
  • Participate in code reviews, testing, and deployment processes to maintain high-quality deliverables
  • Innovate and integrate emerging technologies to enhance data-driven decision-making in investment banking
  • Mentor junior engineers and contribute to the team's knowledge-sharing initiatives

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 5+ years of experience in software engineering with a focus on data engineering
  • Proficiency in Python and Java for building scalable data pipelines
  • Hands-on experience with Snowflake for data warehousing and analytics
  • Experience with Tableau for data visualization and dashboard creation
  • Strong understanding of agile methodologies and secure software development practices
  • Ability to work in a fast-paced environment handling sensitive financial data

Preferred Qualifications

  • Master's degree in a relevant technical field
  • Experience in the financial services industry, particularly with market data or risk analytics
  • Familiarity with cloud platforms like AWS or Azure integrated with Snowflake
  • Certifications in Snowflake, Tableau, or AWS
  • Prior work at a large-scale financial institution like JP Morgan Chase

Required Skills

  • Python programming
  • Java development
  • Snowflake data warehousing
  • Tableau visualization
  • SQL and data querying
  • ETL pipeline design
  • Agile/Scrum methodologies
  • Cloud computing (AWS/Azure)
  • Data security and compliance
  • Problem-solving and debugging
  • Collaboration and teamwork
  • Financial data analytics
  • Version control (Git)
  • Big data technologies (e.g., Spark)
  • Communication skills

Benefits

  • Competitive base salary and performance-based bonuses aligned with financial industry standards
  • Comprehensive health, dental, and vision insurance coverage for employees and families
  • Retirement savings plan with generous company matching contributions
  • Paid time off, including vacation, sick leave, and parental leave policies
  • Professional development opportunities, including tuition reimbursement and access to JP Morgan's learning platforms
  • Employee stock purchase plan and other financial wellness programs
  • Flexible work arrangements, including hybrid options in Bengaluru
  • Wellness programs, gym memberships, and mental health support services

JP Morgan Chase is an equal opportunity employer.

Locations

  • Bengaluru, IN

Salary

Estimated Salary Rangehigh confidence

4,500,000 - 7,500,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Python programmingintermediate
  • Java developmentintermediate
  • Snowflake data warehousingintermediate
  • Tableau visualizationintermediate
  • SQL and data queryingintermediate
  • ETL pipeline designintermediate
  • Agile/Scrum methodologiesintermediate
  • Cloud computing (AWS/Azure)intermediate
  • Data security and complianceintermediate
  • Problem-solving and debuggingintermediate
  • Collaboration and teamworkintermediate
  • Financial data analyticsintermediate
  • Version control (Git)intermediate
  • Big data technologies (e.g., Spark)intermediate
  • Communication skillsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field (experience)
  • 5+ years of experience in software engineering with a focus on data engineering (experience)
  • Proficiency in Python and Java for building scalable data pipelines (experience)
  • Hands-on experience with Snowflake for data warehousing and analytics (experience)
  • Experience with Tableau for data visualization and dashboard creation (experience)
  • Strong understanding of agile methodologies and secure software development practices (experience)
  • Ability to work in a fast-paced environment handling sensitive financial data (experience)

Preferred Qualifications

  • Master's degree in a relevant technical field (experience)
  • Experience in the financial services industry, particularly with market data or risk analytics (experience)
  • Familiarity with cloud platforms like AWS or Azure integrated with Snowflake (experience)
  • Certifications in Snowflake, Tableau, or AWS (experience)
  • Prior work at a large-scale financial institution like JP Morgan Chase (experience)

Responsibilities

  • Design, develop, and maintain scalable data pipelines using Python and Java to process large volumes of financial market data
  • Implement and optimize data solutions on Snowflake to ensure high availability and performance for trading and analytics teams
  • Create interactive dashboards and visualizations in Tableau to support business intelligence needs in risk management and compliance
  • Collaborate with cross-functional agile teams to deliver secure, market-leading technology products for JP Morgan Chase's global operations
  • Ensure data integrity, security, and compliance with regulatory standards in the financial services sector
  • Troubleshoot and resolve complex data engineering issues in production environments
  • Participate in code reviews, testing, and deployment processes to maintain high-quality deliverables
  • Innovate and integrate emerging technologies to enhance data-driven decision-making in investment banking
  • Mentor junior engineers and contribute to the team's knowledge-sharing initiatives

Benefits

  • general: Competitive base salary and performance-based bonuses aligned with financial industry standards
  • general: Comprehensive health, dental, and vision insurance coverage for employees and families
  • general: Retirement savings plan with generous company matching contributions
  • general: Paid time off, including vacation, sick leave, and parental leave policies
  • general: Professional development opportunities, including tuition reimbursement and access to JP Morgan's learning platforms
  • general: Employee stock purchase plan and other financial wellness programs
  • general: Flexible work arrangements, including hybrid options in Bengaluru
  • general: Wellness programs, gym memberships, and mental health support services

Target Your Resume for "Software Engineer III - Data Engineer (S3, Snowflake, Tableau, Python/Java)" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Software Engineer III - Data Engineer (S3, Snowflake, Tableau, Python/Java). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Software Engineer III - Data Engineer (S3, Snowflake, Tableau, Python/Java)" , JP Morgan Chase

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Software EngineeringFinancial ServicesBankingJP MorganSoftware Engineering

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