
Building Data Systems for Discovery
2 days ago
We are seeking a skilled Data Architect to design and develop scalable data systems that enable our scientists to make groundbreaking discoveries.
Must-Have Skills:
- Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies.
- Proficiency in workflow orchestration, performance tuning on big data processing.
- Strong understanding of AWS services.
- Ability to quickly learn, adapt and apply new technologies.
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork skills.
- Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices.
Good-to-Have Skills:
- Data Engineering experience in Biotechnology or pharma industry.
- Experience in writing APIs to make the data available to the consumers.
- Experienced with SQL/NOSQL database, vector database for large language models.
- Experienced with data modeling and performance tuning for both OLAP and OLTP databases.
- Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops.
This role is ideal for someone who thrives in a collaborative environment and has a passion for working with cutting-edge technologies. If you are motivated by the opportunity to drive innovation and improve the efficiency of our data systems, we encourage you to apply.
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