Responsibilities
- Develop and optimize ETL data pipelines using Azure Databricks, PySpark, and Python
- Implement and support data lake architectures leveraging Delta Lake and Azure cloud services
- Collaborate with cross-functional teams to integrate and enable analytics solutions
- Ensure performance tuning, debugging, and optimization of large-scale data workflows
- Apply CI/CD practices and work within Agile delivery methodologies
- Provide technical leadership and solution architecture expertise
- Manage stakeholders effectively and demonstrate strong problem-solving skills
- Leverage experience in handling both structured and unstructured data in cloud environments
Qualifications
- Certifications in Databricks and Azure Data Engineering are a plus
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