Description

You will design and lead the development of scalable, end-to-end data pipelines and data warehouse solutions on AWS.

This role is on-site.

Responsibilities

• Architect and deliver ETL/ELT workflows using AWS Glue and PySpark.
• Orchestrate data pipelines with Airflow, ensuring high data quality and performance.
• Design event-driven architectures using Lambda, EventBridge, S3, RDS (Aurora/Postgres), and MSK/Kinesis.
• Implement CI/CD pipelines and infrastructure-as-code (Terraform) for automated deployments.
• Collaborate with cross-functional teams to influence technical and business stakeholders.

Required Skills

• 5+ years of hands-on experience designing data integration solutions.
• Expertise in AWS Glue, PySpark, DBT, and Airflow.
• Strong proficiency in SQL and data modeling for Snowflake, Aurora, PostgreSQL, and MS SQL Server.
• Experience with AWS Lambda, EventBridge, S3, and Kinesis.
• Proficiency in Terraform and modern DevOps practices.
• AWS Certified Data Engineer or Solutions Architect certification.

Preferred Skills

• Experience with Scala.
• Leadership capabilities for technical teams.

Key Skills

Education

Any Graduate