Description

You will design, build, and optimize scalable cloud-native data pipelines for a global pharmaceutical company.

This role is on-site.

Responsibilities

• Architect and implement pipelines using AWS Glue, S3, Redshift, Athena, Lambda, Step Functions, ECS/EC2, and Presto.
• Design and optimize ETL/ELT pipelines and data lake architectures.
• Develop source-to-target mappings and contribute to data modeling.
• Ensure performance, reliability, and security across AWS environments.
• Mentor junior engineers and collaborate with stakeholders.

Required Skills

• 15+ years of professional experience.
• Strong programming in Python and Apache Spark.
• Proven expertise with AWS data services and cloud infrastructure.
• Hands-on experience with ETL/ELT design and data modeling.
• Proficiency with AWS Glue, S3, Redshift, Athena, and ETL/ELT processes.
• Excellent communication and problem-solving skills.

Preferred Skills

• AWS Certification in Data Analytics or Solutions Architect.
• Experience with CI/CD and DevOps practices.

Key Skills

Education

Any Graduate