Description

You will lead the design, development, and maintenance of scalable data engineering solutions on AWS.

Responsibilities

• Design, develop, and maintain scalable data pipelines using AWS services (MWAA, Glue, Redshift, S3, Lambda).
• Implement and manage ETL processes for accurate and efficient data processing and storage.
• Integrate data from various sources, ensuring data quality and consistency.
• Develop and maintain data models supporting analytics and reporting needs.
• Lead data engineering projects, providing technical direction and mentoring junior engineers.

Required Skills

• 10+ years of experience in data engineering with a focus on AWS data services.
• Proficiency in SQL, Python, and ETL tools.
• Expertise with AWS services: Glue, Redshift, S3, Lambda, MWAA.
• Experience with virtualization technologies such as EC2, EKS, ECS, ECR, and Fargate.
• Strong analytical and problem-solving skills.
• Domain knowledge in Life Science Pharma and Commercial Operations is required.
• Experience with big data technologies such as Hadoop or Spark.

Key Skills

Education

Any Gradute