Lead Azure Data Engineer

3 weeks ago

Delhi, India RandomTrees Full time
Immediate #HIRING for a highly motivated and experienced Lead Azure Data Engineer to join our growing team.
We’re a leading software company specializing in Artificial Intelligence, Machine Learning, Data Analytics, Innovative data solutions, Cloud-based technologies
If you're passionate about building robust applications and thrive in a dynamic environment, please share your resume at
Overview
We are looking for a highly skilled Lead Data Engineer with deep hands-on expertise in Azure and Databricks. This is a senior technical role with high expectations. The consultant must be extremely hands-on, technically strong in Azure and Databricks, and capable of delivering high-quality solutions with speed and precision.
The ideal candidate is a hands-on problem solver who ensures efficiency in his own work while also helping the wider team become more productive and technically stronger.
Key Responsibilities
- Design, develop, and optimize data pipelines using Azure and Databricks.
- Hands-on work with Databricks Asset Bundles (DABs) for CI/CD and environment management.
- Build and manage scalable ELT/ETL workflows with Databricks, Delta Lake, ADF, and other Azure services.
- Continuously adopt and apply new Databricks features to accelerate delivery.
- Optimize Spark, SQL, and Python code for performance and scalability.
- Apply software engineering best practices (e.g., TDD, CI/CD, modular design, code reviews) to ensure a robust, maintainable, and strategic data ecosystem.
- Mentor team members to improve overall team productivity and technical capability.
- Deliver in a fast-paced environment with quick turnaround expectations.
Required Skills & Experience
- 8+ years in Data Engineering with at least 5 years hands-on in Azure & Databricks.
- Strong expertise in:
- Databricks (Delta Lake, Databricks SQL, Workflows, Databricks Asset Bundles, MLflow basics, unity catalog)
- Azure Data Services (ADF, Azure Synapse (good to have), Azure Data Lake, Azure SQL)
- Python, SQL, Spark (with proven performance optimization skills)
- Strong knowledge of modern data architectures (Lakehouse, governance).
- Track record of efficient delivery and helping teams accelerate execution.
Soft Skills & Attributes
- Efficiency-driven mindset – focused on speeding up both personal and team delivery.
- Strong communicator within the team, able to share knowledge and mentor effectively.
- Highly motivated, proactive, and results-oriented.
- Ability to work in a fast-paced environment with quick turnarounds.
- Team-first approach – drives collective improvement and efficiency.
Preferred Skills
- Experience with AI-driven development (e.g., Cursor.ai, GitHub Copilot, or similar tools) to accelerate coding, improve productivity, and maintain high-quality implementations.
- Exposure to Generative AI in Databricks (LLMOps, Model Serving, MosaicML, vector search) – good to have.
Work Hours
- Must have 5–6 hours daily overlap with USA team (EST time zone) for collaboration.

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