Solutions Architect, Data Engineering
SnowflakeFull Time
Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
The role requires 8+ years of experience with Python and SQL, fluency in Databricks and Spark for pipeline development, hands-on experience with relational databases like Delta Lake, Oracle, and AWS Redshift, and 5+ years managing AWS products including Spark, Glue, Kafka, S3, and Redshift.
This information is not specified in the job description.
This information is not specified in the job description.
You will report to a senior member of the team and work within the Corporate Data Science Center of Excellence, which includes data scientists, data engineers, business analysts, program/product managers, and others.
Strong candidates have a 4-year degree in computer science or 8-10 years of data engineering experience, are self-starters able to deliver complex solutions rapidly, resolve technical issues independently, and communicate effectively with technical and non-technical teams.
Provides life sciences products and services
Thermo Fisher Scientific offers a variety of products and services that support scientific research and healthcare, including laboratory equipment, reagents, and software solutions. Their products are used in applications like protein biology, real-time PCR, and sequencing, serving clients such as academic institutions and pharmaceutical companies. Unlike competitors, Thermo Fisher emphasizes customer support and education, helping clients optimize their experiments. The company's goal is to be a leading provider of life sciences solutions that contribute to a healthier and safer world.