Data Engineer

What You ll Do

• Design, build, and maintain data pipelines and ETL/ELT workflows
• Develop and schedule Airflow DAGs for automated processing
• Write scalable data transformations using Python, SQL, and Spark
• Work within Google Cloud Platform services to deploy and manage data workflows
• Build automation frameworks to support data validation and system reliability
• Partner with engineering teams to improve data quality and operational efficiency
• Contribute to POCs and internal tools, including AI/ML or data-driven initiatives when applicable
• Support occasional cross-team efforts when high-priority delivery requires collaboration

Required Skills

• 3 -5 years of hands-on experience in Data Engineering or Data Platforms
• Strong Python (data processing, scripting, automation)
• Strong SQL
• Experience building ETL/ELT pipelines
• Experience with Apache Airflow (DAG creation, scheduling, orchestration)
• Familiarity with Google Cloud Platform (Google Cloud Platform) services
• Basic experience with Spark or distributed data processing
• Understanding of data modeling and pipeline best practices

Requirements added by the job poster

3+ years of work experience with SQL

3+ years of work experience with Python (Programming Language)

1+ years of work experience with Google Cloud Platform (Google Cloud Platform)