Key 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.

Required Skills & Experience:
10+ years of hands-on experience in Data Engineering with a solid focus on Azure.




Solid 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 settings.
Strong analytical, problem-solving, and communication skills.

📌 Azure Data Engineer Bengaluru
🏢 Onactive Consulting
📍 Bengaluru