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Data Engineer

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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)

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