Data Engineer - Spark, AWS at JPMC Candidate Experience page

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

05 May, 26

Salary

0.0

Posted On

04 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Spark, AWS, JavaSpark, PySpark, Data Pipeline, Data Modeling, Data Warehouse, Data Migration, SQL, NoSQL, Statistical Data Analysis, Domain Driven Design, Micro-Services Patterns, REST API, Cloud Technologies

Industry

Financial Services

Description

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.

Responsibilities

As a Data Engineer II, you will enhance, design, and deliver data solutions in a secure and scalable manner. You will also organize and maintain data to make it actionable and update data models based on new use cases.