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Software Engineer II

Software Engineer II

JPMorgan Chase Bank

0 - 4 years

9 - 13 Lacs

Hyderabad

Posted:4 hours ago| Platform:

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Skills Required

System architecture Data analysis Data modeling Coding Debugging Agile Apache Troubleshooting Analytics SQL

Work Mode

Work from Office

Job Type

Full Time

Job 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 JPMorgan Chase within the Consumer & Community Banking Team, 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, equity, inclusion, and respect

Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills

Formal training or certification on Data Engineering concepts and 3+ years applied experience in AWS and Kubernetes

Proficiency in one or more large-scale data processing distributions such as JavaSpark/PySpark along with knowledge on Data Pipeline (DPL), Data Modeling, Data warehouse, Data Migration and so-on.

Experience across the data lifecycle along with expertise with consuming data in any of batch (file), near real-time (IBM MQ, Apache Kafka), streaming (AWS kinesis, MSK)

Advanced at SQL (e. g. , joins and aggregations)

Working understanding of NoSQL databases

Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.

Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis

Experience customizing changes in a tool to generate product

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.

AWS Developer/Solutions Architect Certification is highly desired

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, equity, inclusion, and respect

Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills

Formal training or certification on Data Engineering concepts and 3+ years applied experience in AWS and Kubernetes

Proficiency in one or more large-scale data processing distributions such as JavaSpark/PySpark along with knowledge on Data Pipeline (DPL), Data Modeling, Data warehouse, Data Migration and so-on.

Experience across the data lifecycle along with expertise with consuming data in any of batch (file), near real-time (IBM MQ, Apache Kafka), streaming (AWS kinesis, MSK)

Advanced at SQL (e. g. , joins and aggregations)

Working understanding of NoSQL databases

Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.

Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis

Experience customizing changes in a tool to generate product

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.

AWS Developer/Solutions Architect Certification is highly desired

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Software Engineer II