Tech Lead BI & Analytics

Role Overview: You will be responsible for leading end-to-end BI & analytics projects, architecting scalable data solutions, driving API development, mentoring a team, leveraging code assist tools, implementing containerized applications, collaborating with stakeholders, and monitoring system performance in the role of Tech Lead BI & Analytics. Key Responsibilities: - Lead end-to-end BI & analytics projects, from data ingestion to dashboard/report delivery. - Architect scalable data solutions using Clickhouse, Databricks, and Azure Cloud services. - Drive the design and development of APIs to support data services and integration. - Mentor and lead a team of engineers and analysts, ensuring best practices in code quality and analytics delivery. - Leverage GenAI-based code assist tools to enhance development productivity and accelerate solution delivery. - Implement containerized applications using Docker/Kubernetes for data deployment pipelines. - Collaborate with business stakeholders to understand reporting needs and translate them into actionable technical solutions. - Monitor, optimize, and troubleshoot system performance and data workflows. Qualification Required: - 8 to 15 years of proven experience in BI, data engineering, and analytics. - Strong proficiency in Python for data scripting and API development. - Deep hands-on experience with Clickhouse and Databricks. - Proficient in Azure Cloud Services including Data Factory, Data Lake, Synapse, etc. - Experience working with GenAI tools such as GitHub Copilot or other code assistants is a strong plus. - Hands-on with containerization technologies like Docker and Kubernetes. - Strong analytical and problem-solving skills with a keen attention to detail. - Ability to lead technical teams and communicate effectively with stakeholders.,