Data Engineer

Dbt, Python, Apache Spark, Testing, Sql, Version Control, Amazon Redshift, Data Modeling, This isn't a role for maintaining legacy systems. This is a unique opportunity to take the lead on a significant data re-architecture project. You will have the autonomy and trust to make critical architectural decisions, laying the technical foundation that will empower our entire business-from product and analytics to customer intelligence and growth. If you are motivated by high-impact work and the challenge of building a best-in-class, scalable data platform from the ground up, we want to talk to you., * You have 4-6+ years of professional experience as a Senior or Lead Data Engineer, defined by successfully leading at least one significant data re-architecture project.

• You possess deep expertise in SQL and Python and apply data engineering best practices as second nature (testing, version control, CI/CD).
• You have strong, hands-on experience building scalable data pipelines in a modern cloud environment, using tools like dbt, AWS Glue, AWS Lake Formation, Apache Spark, and Amazon Redshift.
• You have a firm grasp of data modeling, ELT design patterns, data governance, and security best practices.