Data Engineer – AWS Data Platform
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 modern 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