Job Title Principal Data Engineer Analytics MLOps Location Hyderabad India Role Overview We are seeking a Principal Data Engineer Analytics MLOps to build and evolve the digital backbone for our Advanced Synthesis ADS organization This role sits at the intersection of data engineering analytics and machine learning operations enabling the integration and production deployment of advanced analytics predictive models and lightweight digital applications In this hands-on engineering role you will design implement and operate cloud-native data and analytics pipelines that power dashboards machine learning models and scientific workflows ensuring scalability reliability and compliance across the R D lifecycle Key Responsibilities Develop and maintain cloud-based analytics data pipelines using Azure Data Factory ADF Azure Data Lake Storage ADLS and Microsoft Fabric Operationalize machine learning workflows by deploying monitoring and maintaining production models using Azure Machine Learning and MLOps best practices Implement CI CD and DevOps practices for analytics and MLOps solutions using Azure DevOps GitHub Actions or similar tools Establish data and model versioning validation and documentation processes aligned with FAIR and ALCOA principles Enable analytics consumption through Power BI and via reusable APIs and data products Monitor troubleshoot and optimize deployed analytics solutions for performance and reliability Collaborate closely with scientists data scientists software engineers and IT partners to align analytics solutions with scientific and business needs Key Requirements Education Bachelor s degree in Computer Science Engineering Data Science or a related technical discipline Experience 5 years of experience in data engineering analytics engineering or MLOps roles Hands-on experience delivering production-grade analytics and machine learning solutions in cloud environments Experience working in regulated or quality-driven environments is preferred Technical Skills Solid proficiency in Python and SQL for data processing and automation Hands-on experience with Azure services including ADF ADLS Microsoft Fabric and Azure Machine Learning Experience with MLOps frameworks and tooling such as MLflow Docker and FastAPI Strong understanding of CI CD pipelines and Git-based version control Experience supporting analytics and visualization via Power BI or similar tools Familiarity with SnapLogic or other iPaaS solutions is an advantage Soft Skills Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders Strong collaboration skills and comfort working in cross-functional global teams Highly detail-oriented with a strong focus on automation scalability and quality Preferred Certifications Microsoft Certified Azure Data Engineer Associate DP-203 Microsoft Certified Azure AI Engineer Associate AI-102 About Lonza At Lonza our people are our greatest strength With 30 sites across five continents our globally connected teams work together every day to manufacture the medicines of tomorrow Our core values Collaboration Accountability Excellence Passion and Integrity reflect who we are and how we work together Innovation thrives when people from all backgrounds bring their unique perspectives to the table If you re ready to help turn our customers breakthrough ideas into viable therapies we look forward to welcoming you on board

📌 Principal Data Engineer, Analytics & Mlops (Telangana)
🏢 Lonza
📍 Telangana