JPMorgan Chase Hiring 2026 | Data Management Associate Senior | Bengaluru | Apply Now

Application Link

Apply Here:

https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210748551

JPMorgan Chase Hiring – Data Management Associate Senior Opportunity

JPMorgan Chase & Co. is hiring for the position of Data Management Associate Senior in Bengaluru, Karnataka. This opportunity is suitable for candidates with recent hands-on professional experience in reporting, data analysis, business intelligence, or related data-focused areas.

The role requires knowledge of data engineering, data management, SQL, database querying, data warehousing, ETL, data pipelines, data quality, data governance, and reporting. Candidates should also have strong analytical and problem-solving skills and the ability to communicate complex technical concepts to both technical and business stakeholders.

Application Deadline: 10 September 2026

About JPMorgan Chase & Co.

JPMorgan Chase & Co. is a global financial services company providing banking, investment, financial, and technology services to individuals, businesses, institutions, and governments. The company operates across multiple financial markets and uses large-scale data and technology systems to support its business operations.

Job Details

Company Name: JPMorgan Chase & Co.

Position: Data Management Associate Senior

Job ID: 210748551

Job Type: Full Time

Location: Bengaluru, Karnataka, India

Experience: Recent Hands-On Professional Experience in Reporting, Data Analysis, or Business Intelligence

Application Deadline: 10 September 2026

Salary: Not Disclosed

Eligibility Criteria

Formal training or certification in data engineering concepts.
Recent professional experience in reporting, data analysis, or business intelligence.
Experience with SQL and database querying.
Understanding of managing and optimizing queries for large volumes of data.
Experience designing and implementing different types of software and data tests.
Knowledge of JSON, Avro, and Parquet data formats.
Strong analytical and problem-solving skills.
Ability to explain complex technical concepts to technical and business stakeholders.
Strong attention to detail and commitment to data quality.
Excellent written and verbal English communication skills.

Job Description

JPMorgan Chase & Co. is looking for a Data Management Associate Senior to support data management, analysis, reporting, and data engineering-related activities.

The selected candidate will work with data from different sources and contribute to data querying, data pipelines, data quality, data modelling, reporting, and data management processes. The role also involves understanding and optimizing queries for large volumes of data and implementing appropriate testing approaches.

Candidates will work with technologies and concepts including SQL, Python, relational databases, data warehousing, ETL, JSON, Avro, Parquet, AWS, and data governance.

Key Responsibilities

Support data management and data engineering activities.
Perform data analysis and reporting activities.
Develop and execute SQL queries for data analysis and reporting.
Manage and optimize database queries for large volumes of data.
Work with relational databases and data warehousing environments.
Support ETL processes and data pipelines.
Contribute to data modelling and domain modelling activities.
Work with structured data formats such as JSON, Avro, and Parquet.
Support data quality and data governance activities.
Develop and maintain reporting and visualization solutions.
Use Python for data analysis and data-related tasks where required.
Work with cloud technologies and data environments, including AWS.
Design and implement appropriate data and software testing approaches.
Support unit, component, integration, end-to-end, and performance testing.
Analyze data-related issues and develop effective solutions.
Collaborate with technical and business stakeholders.
Explain complex technical and data concepts clearly to stakeholders.
Maintain accuracy, consistency, and quality of data.

Key Skills Required

Data Engineering
Data Management
Data Analysis
Business Intelligence
SQL
Database Querying
Query Optimization
Relational Databases
Data Warehousing
ETL
Python
Data Pipelines
Reporting & Visualization
Data Quality
Data Governance
Data Modelling
Domain Modelling
JSON
Avro
Parquet
AWS
Unit Testing
Component Testing
Integration Testing
End-to-End Testing
Performance Testing
Analytical Skills
Problem-Solving Skills
Stakeholder Communication
English Communication

Data Engineering & Management Skills

Data Engineering: Data Pipelines, ETL, Data Warehousing
Data Management: Data Quality, Data Governance, Data Modelling, Domain Modelling
Database: Relational Databases, SQL, Database Querying, Query Optimization
Data Formats: JSON, Avro, Parquet
Programming: Python
Cloud: AWS
Analytics: Data Analysis, Business Intelligence, Reporting & Visualization

Testing Skills

Unit Testing
Component Testing
Integration Testing
End-to-End Testing
Performance Testing
Data Quality Testing
Software Testing
Test Design and Implementation

Preferred Qualifications

Experience working in a highly regulated industry.
Understanding of data warehousing and ETL processes.
Experience using Python for data analysis.
Understanding of data governance frameworks.
Knowledge of AWS cloud technologies.
Experience working with large-scale data environments.
Strong understanding of data quality and data management practices.
Strong communication and stakeholder management skills.

Selection Process

The official job posting does not disclose the exact number or format of selection and interview rounds. The recruitment process may vary depending on the candidate and JPMorgan Chase & Co.'s hiring requirements.

Candidates may be required to complete resume screening, technical assessments, data or SQL-based evaluations, technical interviews, and HR or behavioral discussions as determined by the recruitment team.

Why Apply?

Opportunity to work with a leading global financial services company.
Gain experience in enterprise-scale data management.
Work with data engineering and business intelligence technologies.
Develop advanced SQL and database querying skills.
Gain exposure to large-scale data environments.
Learn about data warehousing and ETL processes.
Gain experience with data pipelines and data modelling.
Develop knowledge of data quality and data governance.
Work with modern data formats such as JSON, Avro, and Parquet.
Gain exposure to AWS cloud technologies.
Develop data testing and quality assurance skills.
Strengthen analytical and problem-solving abilities.
Build experience working with technical and business stakeholders.
Develop a career in data engineering, data management, or business intelligence.

Who Should Apply?

Data Engineers with relevant professional experience.
Data Analysts with reporting and data analysis experience.
Business Intelligence professionals.
Database professionals with strong SQL skills.
Candidates with experience in data management.
Professionals with knowledge of data warehousing and ETL.
Candidates with experience working with large volumes of data.
Professionals with Python data analysis experience.
Candidates with knowledge of data governance and data quality.
Professionals interested in financial services data and technology.

How to Apply?

Interested and eligible candidates can apply through the official JPMorgan Chase & Co. careers portal using the application link provided above.

Candidates should carefully review the official job description and eligibility requirements before submitting their application.

Application Deadline: 10 September 2026

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Disclaimer

The recruitment details are based on the provided JPMorgan Chase & Co. job information. Candidates should verify the latest eligibility criteria, experience requirements, job responsibilities, salary details, application deadline, selection process, and application status on the official JPMorgan Chase careers portal before applying.

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JPMorgan Chase Hiring 2026 for Data Management Associate Senior in Bengaluru. Candidates with SQL, data engineering, Python, ETL, data warehousing, AWS, data governance, and BI skills can apply by 10 September 2026.

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