Azure Databricks

Key Responsibilities

• Develop and implement data processing solutions using Databricks and PySpark to optimize workflows and improve efficiency.
• Collaborate with data engineers and analysts to design scalable AWS-based data architectures.
• Analyze complex datasets to identify trends and insights that inform strategic decision-making.
• Provide technical guidance and mentorship to team members, fostering a collaborative environment.
• Ensure data quality and integrity through robust validation and cleansing processes.
• Optimize existing data pipelines and workflows for improved performance and reduced processing time.
• Conduct code reviews to maintain high coding standards and best practices.
• Stay updated with emerging industry trends and technologies to enhance data processing capabilities.
• Participate in Agile development processes, including sprint planning, stand-ups, and retrospectives.
• Troubleshoot and resolve technical issues related to data processing and AWS infrastructure.
• Document technical specifications and workflows to facilitate knowledge sharing.
• Engage with stakeholders to translate business requirements into actionable technical solutions.
• Contribute to impactful data-driven solutions aligned with organizational objectives.