Qualifications and Skills

• Proficiency in Python, SQL, and Snowflake (Mandatory skill) for developing robust data solutions.
• Expertise in working with big data frameworks and technologies for managing and processing large datasets.
• Experience with Microsoft Azure for cloud-based data storage and processing solutions.
• Strong understanding of data modeling principles to design efficient and scalable data architectures.
• Hands-on experience with ETL and ELT processes to ensure seamless data integration and transformation.
• Proficiency in PySpark for distributed data processing and analysis across large datasets.
• Solid problem-solving skills with the ability to troubleshoot complex data-related issues effectively.
• Excellent communication skills to collaborate with cross-functional teams and stakeholders efficiently.

Roles and Responsibilities

• Design, construct, and maintain scalable data pipelines to support various business needs and analytics.
• Collaborate with data scientists and analysts to understand data requirements and deliver suitable solutions.
• Optimize and monitor data workflows to ensure high performance and reliability of data systems.
• Work with engineering teams to integrate data solutions seamlessly with existing systems and applications.
• Implement best practices in data management, including data quality, integrity, and security measures.
• Stay updated with industry trends and advancements to continually improve data engineering processes.
• Deliver data-driven insights and recommendations to drive strategic business decisions.
• Troubleshoot and resolve data-related issues promptly to maintain system integrity and performance.