[Hiring] Databricks Data Engineer @QTech

Role Description

We are seeking an experienced Databricks Data Engineer / Data Platform Consultant with a valid Databricks Partner Certification to design, develop, and optimize enterprise-scale data platforms using Databricks Lakehouse technologies. The ideal candidate will have strong expertise in building scalable data pipelines, data engineering best practices, and modern cloud-based analytics solutions.

• Design, develop, and maintain scalable ETL/ELT pipelines using Databricks.
• Build and optimize Delta Lake and Lakehouse architectures.
• Develop data ingestion frameworks for structured and unstructured data.
• Implement data governance, security, and performance optimization strategies.
• Work closely with data architects, analysts, and business stakeholders.
• Optimize Spark workloads for scalability and cost efficiency.
• Integrate Databricks with Azure/AWS cloud services.
• Support CI/CD, DevOps, and Infrastructure-as-Code implementations.
• Participate in architecture discussions and technical solution design.

Qualifications

• Databricks Partner Certification (Mandatory)
• Databricks Lakehouse Platform
• Apache Spark (PySpark/Scala)
• Delta Lake
• Python
• SQL
• Azure Databricks or AWS Databricks
• Data Engineering & ETL Development
• Performance Tuning
• Data Modeling
• Git, CI/CD
• Cloud Storage (ADLS, S3)

Preferred Skills

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

Requirements

• Databricks Partner Certification (Required – Client will not consider resumes without this certification)

Company Description