Key Skills Required

- Strong hands-on experience with Azure Data Platform
- Azure Data Factory (ADF)
- Databricks
- Delta Lake
- Snowflake
- Python, SQL, PySpark
- Azure DevOps Jenkins
- CI/CD, DevOps & DataOps practices
- Infrastructure as Code and Git-based workflows
- Data pipeline design, development, testing and deployment
- Performance optimization, scalability, security and cost optimization
- Solid experience in production data platforms and architectural decision-making
- Knowledge of Azure Machine Learning, Azure OpenAI and Cognitive Services
- Understanding of data engineering for AI/ML and Generative AI workloads
- Experience with Agile/Scrum/Kanban environments

Key Responsibilities

- Design, develop, test and release end-to-end Azure-based data solutions.
- Own and manage complex data pipelines and data platforms.
- Design and implement data engineering solutions using Azure Data Factory, Databricks, Snowflake and related technologies.




- Translate business requirements into scalable, secure and maintainable data solutions.
- Handle complex incidents, defects and production escalations.
- Ensure data solutions meet security, governance, performance and reliability standards.
- Identify and resolve technical debt while driving continuous improvement.
- Establish data engineering standards, coding practices, CI/CD processes and monitoring.
- Mentor other engineers through technical guidance, design reviews and knowledge sharing.
- Support AI/ML and Generative AI use cases from a data engineering and Azure platform perspective.

Candidate Profile

We are looking for candidates with strong senior-level data engineering expertise, hands-on Azure experience, excellent problem-solving abilities and experience owning production-grade data solutions end to end.

📌 Commercial Senior Data Engineer (Pune)
🏢 Honeybee Tech Solutions
📍 Pune