Description

You will build and maintain data pipelines using Databricks, process large-scale data, and support analytics and machine learning workloads.

This role is remote.

Responsibilities

• Develop and manage data pipelines using Databricks and PySpark.
• Handle large-scale data processing efficiently while optimizing performance.
• Integrate Databricks with Salesforce and Data Cloud.
• Support analytics and machine learning use cases.

Required Skills

• 10+ years of experience in data engineering.
• Hands-on experience with Databricks and PySpark.
• Strong knowledge of data engineering concepts and performance tuning.
• Experience with large-scale data processing.
• Proficiency with REST APIs, JSON handling, and OAuth/token authentication.
• Experience in marketing use cases, including customer analytics, campaign data, and lead segmentation.

Preferred Skills

• Experience with Salesforce or Data Cloud integration.
• Exposure to analytics and ML workflows.

Key Skills

Education

Any Graduate