[Hiring] Senior Databricks Data Engineer / Platform Consultant @QTech

Role Description

We are seeking a highly skilled Senior Databricks Data Engineer / Platform Consultant with a valid Databricks Champion Certification to lead enterprise data engineering initiatives and deliver scalable cloud-native data solutions using the Databricks Lakehouse Platform.

Key Responsibilities:

• Architect and implement enterprise-scale Databricks solutions.
• Design high-performance Spark applications and data pipelines.
• Develop Delta Lake-based Lakehouse architectures.
• Implement data governance, security, and performance best practices.
• Lead technical design sessions and mentor engineering teams.
• Optimize Spark jobs and cluster performance.
• Collaborate with cross-functional stakeholders to deliver enterprise analytics solutions.
• Support deployment automation using DevOps practices.
• Drive solution architecture and platform modernization initiatives.

Qualifications

• Databricks Champion Certification (Mandatory)
• Databricks Lakehouse Platform
• Apache Spark
• PySpark
• Python
• SQL
• Delta Lake
• Azure Databricks / AWS Databricks
• Data Engineering
• Cloud Architecture
• Performance Optimization
• Git & CI/CD

Preferred Skills

• Unity Catalog
• Delta Live Tables
• MLflow
• Snowflake
• Airflow
• Azure Data Factory
• AWS Glue

Company Description

Best Regards:

Tejaswani R.
Phone: +1-469-568-5111
Email: [email protected]