Our client is a fast-growing AI company specializing in the Pharmaceutical Intelligence space.

Key Responsibilities:

• Design, develop, and maintain complex data pipelines that go through multiple stages and transformations.
• Implement data modeling, normalization, and wrangling of different data formats into a cohesive product.
• Manage and optimize data storage solutions using technologies such as PostgreSQL, S3/GCS.
• Orchestrate workflows using tools like Airflow, Prefect, or Dagster.
• Implement and manage message queues to ensure efficient data processing.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
• Contribute to the maturation of data infrastructure in a startup environment, from 0 to 1 and beyond.

Required Qualifications:

• Proficiency in Python and experience with PostgreSQL.
• Hands-on experience with cloud storage solutions such as S3 or GCS.
• Familiarity with workflow orchestration tools like Airflow, Prefect, or Dagster.
• Experience with managing message queues.
• Mid-level or higher experience in managing complex data pipelines.
• Strong understanding of data modeling, normalization, and data wrangling.

Preferred Qualifications:

• Experience in fast-growing AI-native companies.
• Proven track record of maturing data infrastructure in startup environments.
• Ability to handle unstructured and varying data formats effectively.

Why Join Us:

• Be part of an innovative team at the forefront of AI and data engineering.
• Opportunity to work on challenging projects that make a real impact.
• Collaborative and dynamic work environment.
• Competitive salary and benefits package.