Key Skills Required
Solid 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 settings

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