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JPMorganChase
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Data Engineer II

Data Engineer II

JPMorganChase

2 years

8 - 9 Lacs

hyderābād

Posted:5 hours ago| Platform: GlassDoor logo

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Skills Required

data diversity creativity vision combination design agile storage analytics software development troubleshooting code algorithms reporting service drive coding engineering training certification processing pipeline migration testing programming aws debugging database querying apache rest api

Work Mode

On-site

Job Type

Part Time

Job Description

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 will be an integral part of an agile team dedicated to enhancing, designing, and delivering data collection, storage, access, and analytics solutions that are secure, stable, and scalable.

Job responsibilities

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
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
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software development concepts and 2+ years applied experience
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.
Hands-on practical experience in application development, testing, and operational stability
Proficient in coding in one or more modern programming languages
Should be good hands-on on AWS services and its components along with good understanding on Kubernetes.
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
Strong understanding of domain driven design, micro-services patterns, and architecture
Overall knowledge of the Software Development Life Cycle along with experience with IBM MQ, Apache Kafka
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, LLMs etc.)

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.

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Data Engineer II