We are looking for an AI-enabled AWS Data Engineer who combines strong cloud data engineering expertise with a passion for modern platform engineering and AI-driven software delivery.

You will play a key role in migrating enterprise data platforms from Azure to AWS while helping evolve the organisation's Data Platform 2.0 into a scalable, self-service, Data as a Product ecosystem.

By leveraging AI-assisted engineering practices, you will accelerate delivery, improve platform quality, and contribute to building a future-ready data foundation that supports analytics, machine learning, and enterprise AI initiatives.

Desired Experience :

- 710+ years of Data Engineering experience.
- Experience migrating enterprise data platforms across cloud providers.
- Experience working in cloud transformation programmes.
- Experience building reusable platform capabilities.
- Experience working in Agile delivery teams.
- Experience with enterprise-scale datasets.
- Proven track record in cloud transformation, migration planning, and legacy modernization.
- Experience in Information Modeling, Domain-Driven Design, API and Integration Architecture.

Key Responsibilities :

- Design and implement migration of enterprise data workloads from Azure to AWS.




- Analyse existing Azure-based data pipelines and translate them into AWS-native solutions.
- Support migration planning, execution, validation, reconciliation, and production cutover.
- Ensure minimal business disruption during migration activities.
- Build and maintain scalable AWS data pipelines using services like AWS Glue, S3, EMR, Athena, Redshift, Kinesis.
- Collaborate with architects to implement strategic platform capabilities rather than project-specific solutions.
- Use AI-assisted development tools (e.g., Amazon Q, ChatGPT, Claude) to improve engineering productivity while maintaining engineering quality.
- Build reusable AI-enabled engineering patterns and accelerators for data migration and platform development.

Skills :

- Deep knowledge of AWS data and analytics platforms (MSK/Kafka, EventBridge, Kinesis, S3, Glue, Lambda, ECS/EKS, OpenSearch, DynamoDB).
- Strong expertise in real-time data streaming and event-driven architectures (Kafka, Pub/Sub, Event Streaming).
- Experience with SQL, Apache Spark and PySpark.
- Experience with ETL/ELT and Batch/Stream processing.
- Robust analytical and problem-solving skills.
- Ability to work with architects and translate designs into working solutions.
- Ownership mindset.
- Continuous learning attitude.

📌 AWS Data Engineer - Data Platform Modernization (India)
🏢 Nasugroup
📍 India