South San Francisco, CA, United States
October 22, 2023
Apply NowJob description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Advanced Software Talent, is seeking the following. Apply via Dice today!
Local San Francisco Bay Area candidates only! Hybrid position - 2 to 3 days a week onsite.
Direct W2 employees only! No 3rd party agencies!
Our healthcare/pharmaceutical company is seeking a highly skilled Senior Data Engineer with expertise in software development, AWS cloud, Python programming language, Airflow/Kafka, and event-driven architecture to join our team. The successful candidate will work closely with AI scientists and data analysts to design, develop, and maintain data pipelines and systems that support clinical and operational data use-cases.
Key Responsibilities:
Design, develop and maintain scalable and efficient data pipelines and systems to support clinical and operational data use-cases
Utilize Airflow/Kafka and event-driven architecture to build efficient data pipelines that handle large amounts of data in real-time
Work collaboratively with AI scientists and data analysts to gather and analyze business requirements and ensure data solutions align with business needs
Develop and maintain data warehouse and ETL processes, ensuring data quality and integrity
Implement and maintain data security, data privacy, and compliance measures
Perform data analysis, troubleshoot data issues, and provide technical support to end-users
Collaborate with AI scientists and data analysts to integrate predictive models into the analytics platform
Continuously monitor and optimize data pipelines and systems to ensure optimal performance and scalability
Stay up-to-date with the latest technologies and trends in data engineering, AWS cloud, and healthcare/pharmaceutical industry.
Skills required:
Bachelor's degree in Computer Science, Information Technology, or related field
5+ years of experience in software or data engineering
Proven experience in designing and developing data pipelines and systems in a cloud environment, preferably AWS
Strong proficiency in Python programming language and related frameworks/libraries
Expertise in Airflow/Kafka and event-driven architecture
Familiarity with database technologies such as SQL, NoSQL, and data warehousing concepts
Experience with data security, privacy, and compliance measures
Strong analytical and problem-solving skills
Excellent communication and collaboration skills
Knowledge of healthcare/pharmaceutical industry and related data standards and regulations is a plus.
If you meet these requirements and are passionate about data engineering, healthcare, and pharmaceuticals, we encourage you to apply for this exciting opportunity.
Local San Francisco Bay Area candidates only! Hybrid position - 2 to 3 days a week onsite.
Direct W2 employees only! No 3rd party agencies!
Our healthcare/pharmaceutical company is seeking a highly skilled Senior Data Engineer with expertise in software development, AWS cloud, Python programming language, Airflow/Kafka, and event-driven architecture to join our team. The successful candidate will work closely with AI scientists and data analysts to design, develop, and maintain data pipelines and systems that support clinical and operational data use-cases.
Key Responsibilities:
Design, develop and maintain scalable and efficient data pipelines and systems to support clinical and operational data use-cases
Utilize Airflow/Kafka and event-driven architecture to build efficient data pipelines that handle large amounts of data in real-time
Work collaboratively with AI scientists and data analysts to gather and analyze business requirements and ensure data solutions align with business needs
Develop and maintain data warehouse and ETL processes, ensuring data quality and integrity
Implement and maintain data security, data privacy, and compliance measures
Perform data analysis, troubleshoot data issues, and provide technical support to end-users
Collaborate with AI scientists and data analysts to integrate predictive models into the analytics platform
Continuously monitor and optimize data pipelines and systems to ensure optimal performance and scalability
Stay up-to-date with the latest technologies and trends in data engineering, AWS cloud, and healthcare/pharmaceutical industry.
Skills required:
Bachelor's degree in Computer Science, Information Technology, or related field
5+ years of experience in software or data engineering
Proven experience in designing and developing data pipelines and systems in a cloud environment, preferably AWS
Strong proficiency in Python programming language and related frameworks/libraries
Expertise in Airflow/Kafka and event-driven architecture
Familiarity with database technologies such as SQL, NoSQL, and data warehousing concepts
Experience with data security, privacy, and compliance measures
Strong analytical and problem-solving skills
Excellent communication and collaboration skills
Knowledge of healthcare/pharmaceutical industry and related data standards and regulations is a plus.
If you meet these requirements and are passionate about data engineering, healthcare, and pharmaceuticals, we encourage you to apply for this exciting opportunity.
