A well-established bio tech organization is seeking a Senior Data Engineer to join its expanding data team. This role offers the opportunity to significantly impact the company's global operations by developing and optimizing data pipelines within an AWS environment.
The Role:
The Senior Data Engineer will be responsible for designing and maintaining scalable data pipelines using AWS, Spark, Python, and SQL. The role involves transforming data from spreadsheets into a centralized data warehouse, working closely with the Director of Engineering on critical projects. The ideal candidate will thrive in a fast-paced environment and contribute to the continuous improvement of the company's data infrastructure.
Build and optimize data pipelines in AWS using Spark, Python, and SQL.
Lead the migration of data from spreadsheets to a data warehouse.
Partner with the Director of Engineering on high-impact data projects.
Ensure the efficiency and scalability of data processes to meet global demands.
Required Skills and Experience:
Proven experience in AWS cloud solutions.
Strong coding skills in Spark, Python, and SQL.
Hands-on experience with migrating data from spreadsheets to a data warehouse.
Ability to thrive in a dynamic and fast-paced environment.
Benefits:
As a Senior Data Engineer, you will receive a $120,000- $150,000 base. This role also includes, health, dental, and vision care.
How to Apply:
Please register your interest by sending your resume to Jacob Bisson via the Apply link on this page.
Keywords:
AWS, Python, Spark, SQL, Data Pipelines, Data Warehouse, Data Engineering