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
Best Regards,
Tarun K
Phone: +1-
Email:
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