Design, build, and maintain scalable, robust data pipelines and enterprise data architectures utilizing Databricks, Snowflake, and dbt.
Transform and model complex, large-scale datasets within Snowflake and Databricks to support advanced analytics and business intelligence initiatives.
Leverage Databricks for large-scale, distributed data processing while ensuring data quality, reliability, and continuous performance optimization across cloud data platforms.
Partner with data scientists, analysts, and software engineers to translate business requirements into efficient, end-to-end data engineering solutions.
What's Needed?
Proficiency in Python programming, Pyspark, Azure Data Factory, and Generative AI.
Experience in Data Engineering & Architecture, Snowflake, Databricks, and Data Science.
8+ years of leadership experience, capable of managing offshore resources and acting as the primary client contact.
Hands-on engineering experience with 3-7 years in relevant roles.
Strong collaboration skills and the ability to work effectively across teams and disciplines