Job Role: Databricks Data Engineer / Data Platform Consultant
Location: Remote
Duration: Long Term Project
No C2C only W2 Mandatory Requirement: Databricks Partner Certification (Required Client will not consider resumes without this certification)
Job Summary
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.
Key Responsibilities: - 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.
Required Skills: - 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
For applications and inquiries, contact:[email protected]