Data Engineer ID89384

About the role

We are looking for a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation. The mandatory requirements are 5+ years of experience with Databricks and PySpark, advanced SQL, hands-on GCP experience, and experience with Delta Lake and modern lakehouse architectures.

What you'll do

• Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL
• Build and operationalize agentic workflows to automate data engineering and operational processes such as data validation, issue identification, troubleshooting
• Integrate agentic capabilities with existing Databricks, GCP, BigQuery, and Delta Lake environments
• Develop data pipelines and reusable frameworks and components to support new business requirements and datasets across multiple use cases
• Implement data quality checks, monitoring, validation, exception handling, and production controls

What you need

• 5–9 years in data science & ai
• SQL
• ETL
• Databricks
• Spark
• BigQuery
• GCP
• Any graduate