Job Summary We are seeking a highly skilled Manager-Data & ML Engineering with 8 to 10 years of experience to join our team. The ideal candidate will have expertise in Azure Databricks and Azure Platform and will work in a hybrid model with day shifts. This role involves managing data engineering projects ensuring the successful implementation of machine learning solutions and contributing to the companys data-driven initiatives. Responsibilities
• Oversee the design and implementation of data engineering solutions using Azure Databricks to drive business insights and efficiency.
• Collaborate with cross-functional teams to integrate machine learning models into existing data pipelines for enhanced decision-making.
• Ensure the scalability and reliability of data platforms by leveraging Azure Platform capabilities.
• Lead the development of data processing frameworks that support real-time analytics and reporting.
• Provide technical guidance and mentorship to junior engineers to foster a culture of continuous learning and improvement.
• Monitor and optimize data workflows to ensure high performance and cost-effectiveness.
• Coordinate with stakeholders to understand data requirements and translate them into actionable engineering plans.
• Implement best practices for data governance and security to protect sensitive information and maintain compliance.




• Drive innovation by exploring current data technologies and methodologies to enhance the companys data capabilities.
• Facilitate the deployment of machine learning models into production environments ensuring seamless integration and operation.
• Analyze and troubleshoot data-related issues providing timely resolutions to minimize disruptions.
• Collaborate with data scientists to refine algorithms and improve model accuracy and performance.
• Report on project progress and outcomes to senior management highlighting key achievements and areas for improvement. Qualifications
• Possess a strong background in Azure Databricks and Azure Platform with proven experience in data engineering.
• Demonstrate proficiency in building and managing data pipelines and workflows.
• Exhibit excellent problem-solving skills and the ability to troubleshoot complex data issues.
• Show experience in mentoring and guiding junior team members to achieve project goals.
• Have a solid understanding of data governance and security best practices.
• Display strong communication skills to effectively collaborate with cross-functional teams.
• Be adept at managing multiple projects simultaneously ensuring timely delivery and quality outcomes.

📌 Manager-Data & ML Engg (India)
🏢 Cognizant
📍 India