Data Engineer – AWS Data Platform
Job Summary
We are looking for a highly skilled and motivated
data engineer
with solid 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 . Ensure
data encryption, access management, and compliance
across all data
📌 Senior Data Engineer Noida
🏢 Trantor
📍 Noida