Software Engineer II- Spark,AWS,Java,Kafka

JPMorgan Chase Bank

2 - 7 years

15 - 16 Lacs

hyderabad

Posted:3 days ago| Platform:

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Skills Required

continuous integration cd python software testing ci/cd application development data bricks coding software development life cycle java spark kafka software solutions debugging software engineering agile aws programming agile methodology

Work Mode

Work from Office

Job Type

Full Time

Job Description

Executes software solutions, design, development, and technical troubleshooting for technology products and systems
Writes secure and high-quality code using at least one programming language
Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems
Applies knowledge of tools within the Software Development Life Cycle to improve automation value
Gathers, analyzes, and draws conclusions from large, diverse data sets to support secure, stable application development
Learns and applies system processes and methodologies for developing secure, stable code and systems
Adds to team culture of diversity, inclusion, and respect

Required qualifications, capabilities and skills

Formal training or certification on software engineering concepts and 2+ years applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Proficient in coding in one or more languages
Experience in developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages
Overall knowledge of the Software Development Life Cycle
Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile)

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies
Exposure to Databricks and Python
Experience with Spark, Kafka, and cloud platforms (preferably AWS)
Knowledge of Databricks for data engineering solutions

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