Ready to design, optimize, and maintain highly scalable data infrastructure? Folio3 is hiring a Data Engineer to lead the development of our ETL/ELT pipelines and advanced cloud data platforms.

Responsibilities:

• Design and deploy scalable ETL/ELT pipelines using dbt, Airflow, or Azure Data Factory.
• Develop integrations between Snowflake, Databricks, and cloud storage layers (S3, ADLS, GCS).
• Build data models for analytics and reporting teams.
• Implement data quality, lineage, and monitoring frameworks.
• Optimize SQL queries, warehouse costs, and job performance.
• Collaborate with BI/AI teams for data accessibility and consistency.
• Enforce best practices for code versioning, CI/CD, and data governance.

Requirements:

• 2-5 years of progressive, hands-on experience in Data Engineering.
• Strong SQL and Python (Pandas / PySpark).
• Working experience with 2 or more clouds (AWS + Azure / GCP).
• Familiar with Snowflake (Snowpipe, Streams/Tasks) or Databricks (Delta Lake, Spark).
• Understanding of data orchestration (Airflow, dbt, Dagster).
• Basic understanding of DevOps (Docker, GitHub Actions)