Data Engineer

About this role

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Skills you'll use

What you'll do

• Design, develop, and maintain scalable data pipelines using Databricks, PySpark, and Delta Lake
• Build real-time and batch data ingestion pipelines from diverse operational systems using high-performance Kafka data pipelines.
• Implement data transformations that serve digital twin platforms and operational analytics
• Integrate Kafka event streams with Databricks for real-time operational state updates
• Implement data quality checks using Delta Live Tables expectations
• Ensure data governance compliance through Unity Catalog (lineage, access control, metadata)
• Optimize pipeline performance, reliability, and cost efficiency
• Write clean, well-documented, and testable code following engineering best practices
• Collaborate with ML engineers to deliver feature-engineered datasets
• Participate in code reviews, knowledge sharing, and continuous improvement initiatives

Who can apply

• Collaborate with ML engineers to deliver feature-engineered datasets
• Participate in code reviews, knowledge sharing, and continuous improvement initiatives
• Support production data systems through monitoring, troubleshooting, and incident resolution.
• Build business data warehouse solutions using Terradata for business intelligence.
• Databricks as the single point of truth for all data
• Realtime Data Pipelines implemented using Kafka for data ingestion.
• Databricks SQL for analytical queries
• Unity Catalog for metadata management and governance

About Gradera

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