Senior Data Engineer
Heineken (company site, opens in a new tab)7+ yrsHyderabadOn-siteDirect career pageEst. 18–30 LPA
Posted 2d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines and ETL processes using Azure Databricks, Delta Live Tables, and Azure Data Factory.
- Monitor and optimize performance of data infrastructure across Azure cloud services, ensuring reliability and efficiency.
- Participate in technical reviews, collaborate with DataOps teams, and align with Engineering Manager and stakeholders on project goals and resource planning.
Minimum Requirements
- 5-7+ years of experience in Data Engineering or Software Engineering.
- Mandatory skills: Azure Databricks, Unity Catalog, Delta Live Tables, Python, PySpark, SQL, Azure Data Factory, Azure DevOps, Apache Kafka, Azure cloud data services.
- Proficiency in designing scalable ETL pipelines and data architecture.
- Work Experience Required: Minimum 5-7+ years in related field.
Ideal Candidate Profile
- Experienced in architecting and delivering high-performing cloud-native data solutions using Azure data stack.
- Demonstrated ability to lead technical decisions and mentor team members in a collaborative environment.
- Strong stakeholder engagement capabilities with practical experience in cross-functional agile teams and CI/CD processes.