Data Engineer/Software Engineer

Overview:

The ideal candidate will have a strong background in Azure data engineering with expertise in handling large-scale, complex datasets and modern data platforms. This role offers an exciting opportunity to work on cutting-edge projects within a highly collaborative and innovative team. Our teams culture emphasizes continuous learning, knowledge sharing, and leveraging the latest technologies to solve real-world business problems. You will be involved in projects related to advanced analytics, data integration, and real-time data processing that have a significant impact on our business.

Responsibilities:

• Design, develop, and maintain data solutions on Azure cloud platforms. Work extensively with data lakes, data warehouses, and Snowflake (preferred).
• Assemble and integrate large, complex datasets meeting functional and non-functional business requirements.
• Model and orchestrate complex finance-related data workflows.
• Perform performance tuning, optimization, bottleneck analysis, and troubleshooting in ambiguous environments.
• Develop and maintain CI/CD pipelines and data integrity checks.
• Implement and monitor best practices in Dev frameworks and cloud systems.
• Work with Kafka for data streaming and real-time data processing.
• Collaborate with cross-functional teams to deliver high-quality data solutions.

Requirements:

• 10+ years of hands-on experience in Data Engineering with a strong focus on Azure.
• Strong understanding of modern data platforms including data lakes and data warehouses; Snowflake experience preferred.
• Proficiency in SQL, Python, PowerShell, and JavaScript.
• Experience with cloud-based data platforms, especially Azure and Snowflake.
• Expertise in large volume data processing; retail industry experience is a plus.
• Familiarity with Kafka technologies and real-time data streaming.
• Experience building CI/CD pipelines and implementing data integrity checks.
• Ability to troubleshoot and optimize performance in complex environments.
• Strong analytical, problem-solving, and communication skills.