Job description

Client Notes: • Onsite interviews will be conducted for this role. • 3 days in the office with the other days being need based. Required Qualification/Experience: • Strong experience with Python, and Advanced SQL. • Experience with Azure: Azure Functions, Cosmosdb, Synapse Preferable. • Databricks and CI/CD - Desirable Job Description: • Design and develop enterprise data architecture, focusing on data as an asset across the organization, including collaboration. • Expertise in building scalable cloud solutions, Azure lakehouses, and real-time streaming platforms. • Skilled in Python, SQL, and cloud platforms (AWS, Azure). • Experience with Azure tools like Cosmos DB, Synapse Analytics, Data Lake, and Databricks. • Proficient in Kafka, serverless computing, monitoring, and APM tools. • Automate infrastructure provisioning, DevOps, CI/CD, and containerization. • Strong in Object-Oriented Programming, design patterns, and security best practices. • Experience with AI/ML solutions and Azure certifications preferred. • Lead technology analysis, recommending improvements and driving digital innovation. • Develop and implement integrations, focusing on data quality and user experience. • Mentor team members and promote data asset reuse, governance, and automation.

Requirements