Data Engineer

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