Verified Job
Back Office / Data Entry
Data Engineer With AI Skills
Back Office / Data Entry
#36256
Remote / WFH
NTT Corporation
Job Description
Req ID: 374112
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Engineer with AI Skills to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
Role Overview
We are seeking a highly skilled Senior Data Engineer to lead and execute the migration of an existing Data Lake to a modern Lakehouse architecture. The ideal candidate will have strong expertise in Java, cloud-native technologies (AWS), and modern data platforms, along with hands-on experience leveraging AI tools and prompt engineering to accelerate development, migration, and testing processes.
The role demands a hands-on engineer who can independently design, code, migrate, and validate large-scale data systems.
Key Responsibilities
1. Data Platform Migration
Design and execute migration from traditional Data Lake architecture to Lakehouse architecture
Modernize data platforms using:
Apache Spark
Apache Iceberg / Open Table formats
Snowflake / Cloud Data Warehouse
Refactor and migrate existing data pipelines to AWS cloud-native services
2. Code Migration & Modernization
Analyze and migrate legacy codebases (Java / ETL pipelines) to cloud-native architectures
Optimize existing workflows for performance, scalability, and cost
Ensure adherence to best practices in distributed data processing
3. AI-Assisted Engineering
Use AI tools (e.g., Copilot, ChatGPT, or similar) to:
Accelerate code migration and transformation
Automate repetitive development tasks
Improve developer productivity
Apply Prompt Engineering techniques to:
Generate optimized code solutions
Automate documentation
Streamline data pipeline transformations
4. Testing & Validation Automation
Design and implement automated testing frameworks for migrated pipelines
Use AI-assisted tools to:
Generate test cases
Validate data integrity and consistency
Ensure high-quality delivery with robust CI/CD and testing practices
5. Cloud & Infrastructure Engineering
Build and manage cloud-native data architectures on AWS, including:
Data storage and compute services
Scalable processing pipelines
Implement infrastructure following DevOps and IaC (Infrastructure as Code) methodologies
Required Skills & Qualifications
Core Technical Skills
Strong programming expertise in Java
Hands-on experience with:
Apache Spark (mandatory)
Apache Iceberg / Delta Lake or similar table formats
Snowflake or equivalent data warehouse technologies
Deep understanding of Lakehouse architecture principles
Cloud Expertise
Strong experience with AWS cloud services (S3, EMR, Glue, Lambda, etc.)
Experience building cloud-native, distributed data solutions
AI & Automation Skills
Proven experience using AI tools for development and productivity
Strong Prompt Engineering skills for:
Code generation
Migration acceleration
Automated testing
Data Engineering Expertise
Experience with large-scale data migration projects
Knowledge of data modeling, ETL/ELT, and data pipeline orchestration
Familiarity with data governance, lineage, and quality frameworks
Testing & DevOps
Experience in automated testing frameworks for data pipelines
Knowledge of CI/CD pipelines and DevOps practices
Interview Process Expectation
Candidates will be assessed on:
Hands-on coding skills (Java / Spark)
Use of tools and platforms (AWS, Snowflake, Iceberg)
Real-time code migration scenarios
Application of AI tools & prompt engineering
Testing strategies and automation of data pipelines
Preferred Qualifications
Experience with large-scale enterprise data migrations
Exposure to modern data architectures (Lakehouse, Data Mesh)
Certifications in AWS / Data Engineering / Cloud Platforms
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Engineer with AI Skills to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
Role Overview
We are seeking a highly skilled Senior Data Engineer to lead and execute the migration of an existing Data Lake to a modern Lakehouse architecture. The ideal candidate will have strong expertise in Java, cloud-native technologies (AWS), and modern data platforms, along with hands-on experience leveraging AI tools and prompt engineering to accelerate development, migration, and testing processes.
The role demands a hands-on engineer who can independently design, code, migrate, and validate large-scale data systems.
Key Responsibilities
1. Data Platform Migration
Design and execute migration from traditional Data Lake architecture to Lakehouse architecture
Modernize data platforms using:
Apache Spark
Apache Iceberg / Open Table formats
Snowflake / Cloud Data Warehouse
Refactor and migrate existing data pipelines to AWS cloud-native services
2. Code Migration & Modernization
Analyze and migrate legacy codebases (Java / ETL pipelines) to cloud-native architectures
Optimize existing workflows for performance, scalability, and cost
Ensure adherence to best practices in distributed data processing
3. AI-Assisted Engineering
Use AI tools (e.g., Copilot, ChatGPT, or similar) to:
Accelerate code migration and transformation
Automate repetitive development tasks
Improve developer productivity
Apply Prompt Engineering techniques to:
Generate optimized code solutions
Automate documentation
Streamline data pipeline transformations
4. Testing & Validation Automation
Design and implement automated testing frameworks for migrated pipelines
Use AI-assisted tools to:
Generate test cases
Validate data integrity and consistency
Ensure high-quality delivery with robust CI/CD and testing practices
5. Cloud & Infrastructure Engineering
Build and manage cloud-native data architectures on AWS, including:
Data storage and compute services
Scalable processing pipelines
Implement infrastructure following DevOps and IaC (Infrastructure as Code) methodologies
Required Skills & Qualifications
Core Technical Skills
Strong programming expertise in Java
Hands-on experience with:
Apache Spark (mandatory)
Apache Iceberg / Delta Lake or similar table formats
Snowflake or equivalent data warehouse technologies
Deep understanding of Lakehouse architecture principles
Cloud Expertise
Strong experience with AWS cloud services (S3, EMR, Glue, Lambda, etc.)
Experience building cloud-native, distributed data solutions
AI & Automation Skills
Proven experience using AI tools for development and productivity
Strong Prompt Engineering skills for:
Code generation
Migration acceleration
Automated testing
Data Engineering Expertise
Experience with large-scale data migration projects
Knowledge of data modeling, ETL/ELT, and data pipeline orchestration
Familiarity with data governance, lineage, and quality frameworks
Testing & DevOps
Experience in automated testing frameworks for data pipelines
Knowledge of CI/CD pipelines and DevOps practices
Interview Process Expectation
Candidates will be assessed on:
Hands-on coding skills (Java / Spark)
Use of tools and platforms (AWS, Snowflake, Iceberg)
Real-time code migration scenarios
Application of AI tools & prompt engineering
Testing strategies and automation of data pipelines
Preferred Qualifications
Experience with large-scale enterprise data migrations
Exposure to modern data architectures (Lakehouse, Data Mesh)
Certifications in AWS / Data Engineering / Cloud Platforms
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
