Description:

Lead the design and implementation of scalable data solutions, pipelines, and analytics-ready datasets.
Collaborate with stakeholders to define and refine data requirements and logic.
Establish best practices for data engineering, transformation, and data quality.
Mentor and support other engineers on the team.

Requirements:

5+ years of experience in data engineering or related fields.
Strong SQL expertise and experience designing complex data transformations.
Hands-on experience with modern data platforms (e.g., GCP BigQuery, Databricks, Snowflake).
Proficiency in Python and strong understanding of data modeling concepts.
Ability to balance hands-on delivery with technical guidance.

Skills