Your Role: You will be a part of the data engineering team and working on in-house products in for Data Foundation Collaborating closely with Data Engineering Leads and managers and other Data Ops teams. This role involves hands-on development work and will directly report to Data Engineering Lead. Must have:

- Strong experience in Azure cloud data services & technologies• Azure Databricks, Unity Catalog, Delta live tables• Data Modelling & Architecture• ETL pipeline design• Expert in Python, Pyspark and SQL• Azure Data Factory• Azure Dev Ops• Logging and Monitoring using Azure / Databricks services• Apache Kafka Nice to have:
- Synapse, Fabric, Power BI, Azure Functions, Azure Logic apps• Azure API services• Microsoft Entra ID• GCP & AWS cloud services knowledge• Azure Networking• Databricks online table• Jira• Shell scripting / Azure CLI knowledge Your responsibilities will include:
- Experience in designing, developing, and delivering scalable, reliable, and high performingsoftware solutions.
- Design, development, and maintenance of scalable data pipelines and ETL processes. Monitorand optimize data infrastructure performance.
- Participate in code reviews, design reviews, testing, and deployment processes.
- Ensure you adheres to coding standards, best practices, and architectural guidelines.




- Inspire, advise, and drive the selection of development approach.
- Participate in technical discussions with other teams/departments• Communication with Engineering Manager, Product Owner, Business Analyst and Scrum Masterto align on project. / sprint goals, timeline and resource allocation. You are a good match if you have:
- 5 -12 + years of working experience in in field of Data Engineering, Software Engineering• Hands-on experience and in-depth knowledge of the technologies listed as mandatory in the Technology Stack section• Strong understanding and implementation of software development principles, coding standards,and modern architecture• Experience in working in diverse projects with varying technologies, products, and systems• Strong problem-solving skills and ability to make critical technical decisions• Ability to guide / mentor other team members• Stakeholder engagement/influence skills• Pragmatic, and team-oriented team player• Experience with Databricks, Data pipelines, CI/CD• Proficiency in Python, SQL and big data technologies in Cloud environment• Pragmatic, and collaborative team player. Language proficiency Required:
- Excellent written and verbal English

📌 Data Engineer (Hyderabad)
🏢 The HEINEKEN
📍 Hyderabad