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Engaged Employer

JPMorgan Chase & Co.

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4.0

based on 5.8k Reviews

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

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725 JPMorgan Chase & Co. Jobs

Software Engineer II - Data Engineer

JPMorgan Chase

4.0

based on 5.8k Reviews

2-7 years

Bangalore / Bengaluru

1 vacancy

Software Engineer II - Data Engineer

JPMorgan Chase & Co.

posted 13d ago

Job Role Insights

Flexible timing

Key skills for the job

Medical Coding Python SQL Microsoft Power BI Wealth Management Agile Coaching

+ 3 more

Job Description

As a Software Engineer II at JPMorgan Chase within the Asset & Wealth Management , you are part of an agile team that works to enhance, design, and deliver the software components of the firm s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software 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

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. Create and maintain optimal data workflow architecture.
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, Spark and AWS.
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, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 2+ years applied experience
Experience as a Data Engineer. Must have experience with Python, Spark and AWS.
Hands-on with AWS cloud services: EMR, Terraform, Cloudwatch, Redshift
Experience with relational SQL and NoSQL databases
Familiarity with Hadoop or suitable equivalent

Preferred qualifications, capabilities, and skills