Data Engineer ID 127-1

We are looking for an experienced data engineer to join our team. You will use various methods to transform raw data into useful data systems. For example, you’ll create algorithms and conduct statistical analysis. Overall, you’ll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods. If you are detail-oriented, with excellent organizational skills and experience in this field, we’d like to hear from you.

Duration: 6 months

Requirements

Job Description:• 5-6 years of professional experience

• Deep hands-on experience in AWS (EMR, Lamda, Macie, Talend, S3 etc.) and Snowflake (Snowflake Datapipeline, Snowpark etc) is a must
• Ability to perform PoC’s between various tools, identify pros and cons to evaluate the best tool set based on project needs.
• Pharma life sciences experience is preferable but not mandatory
• Digital data management experience would be a value-add (like managing data from wearables and sensors)
• Good communication and client management skills
• Experience working in a team-based (onshore-offshore) environment
• Experience in developing project-specific PowerPoint slides, word documents, and excel sheets is preferable
• Agile-based project delivery experience is preferableComments for Suppliers:

This position can be remote, preferably in the PST timezone
Please note Snowflake and AWS are important for this role.