Padmi

Data Engineer with AI Skills (Java Background) (Bengaluru)

BangalorePosted 2 months ago
Software engineeringSeniorFull Time; Regular
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Position Name: Data Engineer with AI Skills (Java Background) Location: Bangalore, KA Minimum Relevant Experience: 6-8 Years Start Date: Immediate Key Skills: Java Spring Boot, REST APIs, AI tools (Copilot, ChatGPT), Prompt Engineering Client: NTT Data Key Responsibilities: A. Technical Competencies Core Programming Java (8+/17+), Spring Boot, REST APIs basics Foundation for building and maintaining regulatory reporting services Data Skills SQL proficiency, basic Snowflake queries, understanding of data pipelines Day-to-day work involves heavy data manipulation and reporting Code Quality Unit testing (JUnit, Mockito), clean code practices Ensures maintainable, production-grade code Debugging & Troubleshooting Log reading, stack trace analysis, basic root cause analysis Essential for remediation tickets and production support Version Control (Good to have) Git workflows, branching, pull request etiquette Daily collaboration requirement Build & Deploy (Good to have) Basic understanding of CI/CD pipelines, Maven/Gradle Needed to build, test, and deploy code independently Cloud Basics (Positive to have) Fundamental awareness of cloud concepts (AWS/Azure), containers (Docker) Contextual understanding for cloud enablement projects Scripting (Good to have) Python basics for automation and data tasks Supports tooling, testing, and small automation scripts :Kindly share resume at Position Name: Data Engineer with AI Skills (Java Background) Location: Bangalore, KA Minimum Relevant Experience: 6-8 Years Start Date: Immediate Key Skills: Java Spring Boot, REST APIs, AI tools (Copilot, ChatGPT), Prompt Engineering Client: NTT Data Key Responsibilities: A. Technical Competencies Core Programming Java (8+/17+), Spring Boot, REST APIs basics Foundation for building and maintaining regulatory reporting services Data Skills SQL proficiency, basic Snowflake queries, understanding of data pipelines Day-to-day work involves heavy data manipulation and reporting Code Quality Unit testing (JUnit, Mockito), clean code practices Ensures maintainable, production-grade code Debugging & Troubleshooting Log reading, stack trace analysis, basic root cause analysis Essential for remediation tickets and production support Version Control (Good to have) Git workflows, branching, pull request etiquette Daily collaboration requirement Build & Deploy (Good to have) Basic understanding of CI/CD pipelines, Maven/Gradle Needed to build, test, and deploy code independently Cloud Basics (Positive to have) Fundamental awareness of cloud concepts (AWS/Azure), containers (Docker) Contextual understanding for cloud enablement projects Scripting (Good to have) Python basics for automation and data tasks Supports tooling, testing, and small automation scripts :Kindly share resume at

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