Data Engineer
Job Summary
To support advanced analytics and enterprise reporting, the full-time remote Data Engineer will architect, build, and maintain high-performance ETL/ELT data pipelines using Snowflake, Apache Airflow, Python, and SQL while implementing data quality controls and collaborating with Agile teams.
Key responsibilities
- Design, build, and maintain enterprise ETL/ELT data pipelines integrating data from on-premises and cloud platforms
- Develop complex data transformation routines and automate CI/CD deployments for data engineering workflows
- Implement data de-identification and data masking mechanisms in accordance with enterprise data governance standards
Required qualifications
- 3+ years of hands-on experience in a Data Engineer role building scalable ETL/ELT data pipelines
- 2+ years of experience with Azure cloud services or Databricks
- 2+ years of experience with version control and CI/CD deployment pipelines using Git and GitHub Actions
- 1+ year of proficiency in Python for data processing and pipeline automation
Complete Job Description
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