Banas Dairy - Head - Data Engineering & Analytics

Organization

Banas Dairy, a part of the Gujarat Cooperative Milk Marketing Federation (GCMMF), is Asia's largest cooperative organization in the dairy sector. Known for its commitment to quality, innovation, and sustainability, Banas Dairy plays a vital role in empowering farmers and supporting rural development. The organization is recognized for its state-of-the-art facilities, diverse product portfolio, and adherence to global standards in dairy production and processing.

Location : Faridabad Plant, Banas Dairy

Job Summary

Banas Dairy is seeking a seasoned professional to serve as the Head of Data Engineering & Analytics. This role involves leading the development and deployment of advanced data engineering and analytics solutions to support strategic business initiatives. The ideal candidate will have 8-12 years of experience in data science, analytics, and greenfield projects, with the ability to independently manage a team and deliver impactful results.

Key Responsibilities Science Model Development

• Design, develop, and deploy data science models to solve business challenges.
• Utilize machine learning algorithms and statistical methods to generate insights and predictive outcomes.
• Ensure the robustness and scalability of deployed models.
  
  

Data Pipeline And Workflow Management

• Implement and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines for data science workflows using Azure DevOps.
• Integrate and validate data from multiple sources.
• Collaborate with data engineers.
• Oversee the creation and maintenance of efficient data pipelines and architectures.
  
  

Reporting And Visualization

• Develop and maintain robust reporting systems to monitor and analyze model performance and business metrics.
• Use tools such as Power BI or similar for effective data visualization and communication of insights.
• Communicate findings and recommendations through comprehensive reports and presentations to stakeholders.
  
  

Cloud Computing And Big Data Technologies

• Leverage Azure Data Services, including Azure Machine Learning and Azure DevOps, for data solutions.
• Explore additional cloud platforms such as AWS or Google Cloud for optimal outcomes.
• Apply big data technologies like Hadoop and Spark to manage and analyze large datasets effectively.
  
  

Team Leadership And Strategy

• Lead and mentor a team of data engineers and analysts to deliver high-quality projects.
• Drive the adoption of advanced analytics and data-driven decision-making across the organization.
• Ensure alignment with organizational goals and strategies.
  
  

Manufacturing Application Integration

• Understand and integrate manufacturing applications with analytics solutions to enhance operational efficiency and productivity.
• Partner with stakeholders to address specific challenges in the manufacturing domain using data-driven : B.Tech/M.Tech in Computer Science, Data Engineering, or related fields.
  
  

Experience : 8-12 years of experience in data analytics, data science, and greenfield projects.

Technical Skills

• Proficiency in Python or R and data science libraries (e.g., Scikit-learn, TensorFlow).
• Expertise in Azure Data Services, including Azure Machine Learning and Azure DevOps.
• Strong skills in SQL, data warehousing, and data visualization (e.g., Power BI).
• Hands-on experience with big data technologies (Hadoop, Spark).
• Experience with CI/CD pipeline design and implementation for data science projects.
• Knowledge of additional cloud platforms (AWS, Google Cloud).
  
  

Domain Knowledge

• Understanding of manufacturing applications and processes is highly Competencies :
• Strong analytical and problem-solving skills.
• Effective communication and presentation abilities.
• Proven leadership and team management capabilities.
• Ability to work independently and deliver results in a dynamic environment.
  
  

(ref:hirist.tech)