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Cloud-Based Data Pipelines Architect
1 week ago
We are looking for a skilled Cloud-Based Data Pipelines Architect to join our global team at Pfizer. As a critical member of this team, you will be responsible for designing, developing, and implementing robust data pipelines that ingest and integrate data from various information sources.
This role requires a strong understanding of modern data engineering frameworks and tools such as Snowflake, Redshift, Spark, Airflow, Hadoop, Kafka, and related technologies. You will work closely with the AIDA Data and Platforms teams to enforce best practices for data engineering and data solutions.
The ideal candidate will have 5+ years of hands-on experience in working with SQL, Python, object-oriented scripting languages (e.g., Java, C++, etc.) in building data pipelines and processes. Proficiency in SQL programming, including the ability to create and debug stored procedures, functions, and views, is also essential.
Responsibilities:
- Design and develop robust data pipelines that ingest and integrate data from various information sources
- Implement scalable data solutions to support data scientists and analytics/AI solutions
- Collaborate with data scientists, engineers, and colleagues from across Pfizer to integrate AI and data science models into production solutions
- Contribute to best practices, standards, and documentation to ensure consistency and scalability