**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, Karnataka (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** + Solid 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 Expectations** 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** **#LI-NorthAmerica** **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 endeavors to make_** **_https://us.nttdata.com_** **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_https://us.nttdata.com/en/contact-us_** **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here (http://us.nttdata.com/en/compliance#eeos) . If you'd like more information on your EEO rights under the law, please click here (http://us.nttdata.com/en/compliance#know-your-rights) . For Pay Transparency information, please click here (http://us.nttdata.com/en/compliance#ppnp) ._**

📌 Data Engineer with AI Skills (Bengaluru)
🏢 NTT America
📍 Bengaluru