Data Engineer

Job Descriptions

Location: Mumbai

Key Responsibilities: 
• Design, build, and maintain scalable and efficient data pipelines to support analytics and machine learning model development. 
• Develop and optimize data models for structured and unstructured data to ensure high performance and reliability. 
• Implement CI/CD pipelines for data workflows and model deployment, ensuring seamless integration and delivery. 
• Containerize data engineering and ML workflows using Docker for consistent and reproducible environments. 
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality solutions. 
• Manage and monitor ML Ops processes including model versioning, deployment, and performance tracking. 
• Leverage Azure cloud services (e.g., Azure Data Factory, Azure Synapse, Azure ML, Azure DevOps) to build and manage cloud-native data solutions. 
• Ensure data quality, governance, and security across all engineering workflows. 
• Document data engineering processes, architecture, and best practices. 
• Mentor junior engineers and contribute to a culture of technical excellence and continuous improvement.

Qualifications/Experience: 
• Proficiency in Python and SQL; experience with data processing frameworks like Spark is a plus. 
• Hands-on experience with Docker, CI/CD tools (e.g., GitHub Actions, Azure DevOps), and ML Ops practices. 
• Strong knowledge of Azure cloud platform and its data services. 
• Experience with data modeling, ETL/ELT processes, and orchestration tools. 
• Familiarity with machine learning workflows and deployment strategies. 
• Excellent problem-solving, communication, and collaboration skills. 

Competencies