Senior Data Engineer (EST)

We are currently looking for Data Engineers with EST availability to assist in developing intelligent solutions enabling our customers to accelerate discovery, acquire clinical insights, and address R&D challenges.

Location:

Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.

Responsibilities:

• Data organization and analysis: handling structured, semi-structured, unstructured, and image-based data.
• Building data systems and pipelines
• Preparing data for prescriptive and predictive modeling
• Designing end-to-end pipelines within a hybrid big data architecture, using Cloud Native AWS, Python, SQL, etc.
• Leveraging AWS Cloud services for building data pipelines and ensuring effective monitoring
• Collaborating with data scientists and architects across various projects

What we expect:

• Highly preferred technical skills: Dataiku, Tableau, Streamlit, Artifactory
• 5+ years of Data Engineering experience utilizing designated technologies and tools.
• Profound knowledge and hands-on experience with Python (Pandas, boto3), SQL, Spark, Databricks, DWH, Snowflake
• Proficient use of orchestrators such as Airflow
• Expertise with AWS services essential for Data Engineering: AWS Glue, AWS Lambda, S3, RDS, Redshift, Athena, SQS, SNS, etc.
• Ability to write robust code with Python.
• Deep understanding of pub-sub architecture
• Strong upper-intermediate or higher (B2+) proficiency in English
• Solid analytical and problem-solving skills
• A background or experience in life science, particularly in neuroscience (NS) projects, is highly preferred.
• Experience in designing laboratory and/or medical data management systems is a plus.
• Willing to work East Coast Hours (GMT-4) - at least for the first two-three months, then the schedule may become more compromised/flexible.
• Availability until 17:00 Eastern time

Nice to have:

• Experience in Dataiku, Tableau, Streamlit, and Artifactory

We offer:

• Competitive compensation
• Remote work
• Flexible working hours
• A team with excellent tech expertise
• 3-month contract with possible extension based on project needs and performance