About Team:
RX Global aims to create unforgettable experiences for attendees and exhibitors through organizing events. Innovation, creativity, and collaboration drive the company to offer exceptional services to clients.
About the role:
This role focuses on building and maintaining scalable data pipelines and platforms using AWS, Python/SQL, and big data tools. It involves managing large datasets, optimizing ETL/ELT workflows, ensuring strong security and governance, and supporting real-time and batch data integration. The position requires hands-on experience with AWS services, DevOps practices, and Agile collaboration, along with robust problem‑solving skills and the ability to translate business needs into reliable data solutions.
Responsibilities:
Data Pipeline Development
• Design and build ETL/ELT pipelines to ingest, transform, and load data.
• Use AWS services like Glue, Lambda and Step Functions.
• Schedule and monitor workflows using Step Functions or AWS Glue Workflows.
• Create CI/CD Pipelines based on CloudFormation, Terraform, or CDK.
Data Storage and Management
• Manage structured and unstructured data using services like:
• • Amazon S3
• • Amazon Glue Catalogue
• • Amazon DynamoDB
• • Amazon RDS or Aurora
• • Amazon Redshift
• Ensure data partitioning, indexing, and lifecycle management.
Data Integration
• Integrate data from multiple sources (APIs, on-prem databases, third-party tools).
• Use AWS Glue, Kinesis, or Kafka for real-time or batch data streaming.
Performance Optimization
• Tune ETL jobs and query performance on Athena or Databricks.
• Optimize storage formats (e.g., Parquet, ORC) for cost and speed.
Security & Compliance
• Implement data encryption, IAM roles, and access policies.
• Ensure compliance with data governance and privacy policies (GDPR).
• Use AWS Lake Formation and IAM for access control and auditing.
Monitoring & Maintenance
• Monitor pipeline health and performance using CloudWatch, CloudTrail, and custom
📌 Data Engineer III (Chennai)
🏢 Relx
📍 Chennai