Lead Business Intelligence Engineer

We are seeking an experienced Lead Business Intelligence Engineer to join our team in Hyderabad. As the Lead Business Intelligence Engineer, you will play a pivotal role in driving the development and implementation of our business intelligence solutions. You will lead a team of BI developers and collaborate with cross-functional stakeholders to deliver high-quality data-driven insights and enable informed decision-making across the organization. This position requires a strong technical background, exceptional leadership skills, and the ability to drive excellence in data analytics.

• Provide technical leadership and guidance to the BI team, ensuring deliverables are high quality and adhere to industry best practices
• Oversee design, development, and implementation of scalable data pipelines, data modeling, and data visualization solutions
• Collaborate closely with cross-functional teams and stakeholders to understand requirements and translate them into data products
• Act as a trusted advisor to business leaders, providing both insights and recommendations
• Develop data governance policies and procedures to ensure data security and compliance with regulatory requirements
• Leverage tools such as DBT to build and maintain a modular, version-controlled, and tested data transformation process
• Optimize and maintain data warehouses for performance, availability, and scalability
• Identify opportunities for performance optimization and system enhancements, suggesting improvements to existing data infrastructure and analytics processes.

• Bachelor's degree in Computer Science, Information Systems, or related field
• Background of 8-10 years of progress
• Provide technical leadership and guidance to the BI team
• Ensure deliverables are high quality and adhere to industry best practices
• Oversee design, development, and implementation of scalable data pipelines, data modeling, and data visualization solutions
• Collaborate closely with cross-functional teams and stakeholders to understand requirements and translate them into data products
• Act as a trusted advisor to business leaders, providing insights and recommendations
• Develop data governance policies and procedures to ensure data security and compliance with regulatory requirements
• Leverage tools such as DBT to build and maintain a modular, version-controlled, and tested data transformation process
• Optimize and maintain data warehouses for performance, availability, and scalability
• Identify opportunities for performance optimization and system enhancements
• Suggest improvements to existing data infrastructure and analytics processes.

• Start-up opportunity at an established company
• Solving a challenging problem that affects many businesses
• Opportunity for teamwork, creativity, and strategic thinking
• Advancement in the market
• Integration of cloud apps
• Thousands of happy customers