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 dashboards.
Set up alerts and logging for failures an

📌 Data Engineer III (Chennai)
🏢 RX Global
📍 Chennai