Role: Data Engineer – AWS Data Platform
Experience: 7+ Years
Work Mode: 100% Remote
Employment Type: Full time

Job Summary
We are looking for a highly skilled and motivated Data Engineer with strong expertise in AWS data services to join our data platform team. The ideal candidate will have hands-on experience designing scalable data pipelines, workflow orchestration frameworks, and large-scale data migration solutions .
This role will be responsible for building robust cloud-native data engineering solutions on AWS , migrating datasets from legacy systems and data warehouses, and ensuring secure and productive data processing pipelines across distributed environments.
Key Responsibilities
AWS Data Pipeline Development
Design and implement scalable ETL/ELT data pipelines using AWS Glue, AWS Lambda, and AWS S3 .
Build and maintain high-performance data ingestion frameworks for processing large-scale datasets.
Implement data pipelines for data warehousing and analytics platforms such as AWS Redshift .
Optimize storage and querying strategies using AWS S3 data lakes .





Data Workflow Orchestration
Develop and maintain data workflow orchestration frameworks using tools such as Apache Airflow or AWS Step Functions .
Automate complex workflows including data ingestion, transformation, validation, and loading processes .
Build reusable and configurable workflows to support multiple data processing use cases.

Data Migration & Integration
Lead data migrations from legacy data warehouse technologies to up-to-date AWS data platforms.
Perform data migration from RDBMS systems (e.g., MySQL, SQL Server, Oracle) to AWS S3 or AWS Redshift .
Design scalable migration frameworks for large datasets with minimal downtime.
Integrate data sources from enterprise applications and external systems.

Data Security & Governance
Implement secure data pipelines using AWS security best practices .
Manage access control and data governance using AWS IAM and Lake Formation .

📌 Aws Data Engineer Uttar Pradesh (India)
🏢 Trantor
📍 India