Data Engineer

• Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark

• Integrate and manage Composite applications for enterprise data workflows

• Optimize ETL/ELT processes for performance, scalability, and reliability

• Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality datasets

• Implement data governance, security, and compliance best practices

• Monitor and troubleshoot data workflows to ensure high availability and accuracy

• Contribute to architectural decisions for cloud-based big data solutions