Contribute to data solutions as an Analytics Data Engineer skilled in DBT and Python. Develop scalable ETL pipelines in a hybrid work setting to support business analytics.

This position focuses on the entire lifecycle of data engineering tasks, working closely with data architects to meet integration requirements. With your understanding of tiered architectures and experience with cloud platforms, you will play a key role in ensuring effective data transformation and quality.

Key Responsibilities:
• Develop and automate data workflows with Python
• Collaborate in defining data integration strategies
• Implement quality measures for data integrity
• Manage metadata for enhanced traceability
• Participate actively in Agile sprint processes

Requirements:
• 2+ years in data engineering with a focus on Python
• Expertise in DBT for transformation and modeling
• Experience with ETL tools like Matillion