Data Engineering Lead (SnowFlake)
Summary
Lead data engineering work centered on Snowflake: build scalable ETL pipelines, migrate legacy warehouses to the cloud, automate data flows, and advise on governance and data quality. Requires expert Snowflake/data engineering skills, 6+ years of experience and advanced English; 100% remote for candidates based in Mexico.
This position is 100% remote and open exclusively to candidates based in Mexico.
THE WORK:
Discover the opportunity to make impactful decisions and collaborate across multiple groups to drive meaningful solutions. You will collaborate and manage contributions from various teams, engaging in key decisions that influence broad outcomes. This role will involve providing solutions to challenges that span multiple areas, all while reflecting expertise in Snowflake Data Warehouse. Join us to contribute your knowledge and help shape innovative paths forward.
- Develop reusable workflows that include data ingestion, quality assurance, transformation, and optimization.
- Build scalable data pipelines using extract, transform, and load tools to support data operations.
- Deploy data solutions into production environments ensuring reliability and efficiency.
- Migrate data from legacy data warehouses by applying cloud architecture principles.
- Automate data flows to facilitate seamless data consumption across systems.
- Design and implement business processes that support data governance frameworks.
- Advise on data quality rules and establish effective data compliance policies.
HERE'S WHAT YOU WILL NEED:
- Expert proficiency in Snowflake Data Warehouse.
- Expert proficiency in Data Engineering.
- A minimum of +6 of experience in relevant related skills.
- Bachelor's Degree in relevant field of studies.
- Advance English level
BONUS POINTS IF YOU HAVE:
- Experience in Pharma/Life Sciences is nice to have
- Advanced proficiency in Agile Project Delivery.
- Advanced proficiency in DevOps.
- Intermediate proficiency in Data Pipelines.
- Advanced proficiency in Cloud Computing.
- Intermediate proficiency in Data Architecture.