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.




- 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.

📌 Azure Data Engineer (Bengaluru)
🏢 Onactive Consulting
📍 Bengaluru