Data Engineers with Java background

Description: Location- Bangalore, Client Site All day work from office Shift- 9:00am to 6:30pm 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. [hr align="center" size="1" width="100%"] 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 [hr align="center" size="1" width="100%"] 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 [hr align="center" size="1" width="100%"] 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 [hr align="center" size="1" width="100%"] Preferred Qualifications Experience with large-scale enterprise data migrations Exposure to modern data architectures (Lakehouse, Data Mesh) Certifications in AWS / Data Engineering / Cloud Platforms Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.