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Data Engineer - Spark, AWS

at J.P. Morgan

Mid LevelNo visa sponsorshipData Engineering

Posted 14 days ago

No clicks

Compensation: Not specified
City: Hyderabad
Country: India

JPMorgan Chase is hiring a Data Engineer II for its CCB-Connected Commerce team to design, develop, and maintain data collection, storage, access, and analytics solutions. The role involves building scalable, secure data pipelines and contributing to data modeling, migration, and system configuration. Candidates should have hands-on experience with JavaSpark/PySpark, AWS, strong SQL skills, and familiarity with NoSQL and domain-driven/microservices patterns.

Location: Hyderabad, Telangana, India

You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.

As a Data Engineer II at JPMorganChase within the CCB-Connected Commerce space, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As an emerging member of a data engineering team, you execute data solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

Organizes, updates, and maintains gathered data that will aid in making the data actionable
Demonstrates basic knowledge of the data system components to determine controls needed to ensure secure data access
Be responsible for making custom configuration changes in one to two tools to generate a product at the business or customer request
Updates logical or physical data models based on new use cases with minimal supervision
Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software development concepts and 3-plus years applied experience in JavaSpark/PySpark & AWS
Proficiency in one or more large-scale data processing distributions such as JavaSpark along with knowledge on Data Pipeline (DPL), Data Modeling, Data warehouse, Data Migration and so-on.
Advanced at SQL (e.g., joins and aggregations)
Working understanding of NoSQL databases
Significant experience with statistical data analysis and ability to determine appropriate tools to perform analysis
Basic knowledge of data system components to determine controls needed
Good understanding of domain driven design, micro-services patterns, and architecture

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies
Experience designing and building REST API services using Java
Exposure to cloud technologies - knowledge on Hybrid cloud architectures is highly desirable.
Good to have AWS Certification.

Be part of an agile team that works to enhance, design, and deliver data collection, storage, access, and analytics solutions

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