Lead azure data engineer

3 weeks ago

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 a t 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, Git Hub Copilot, or similar tools) to accelerate coding, improve productivity, and maintain high-quality implementations. Exposure to Generative AI in Databricks (LLMOps, Model Serving, Mosaic ML, 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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