Data Engineering Lead
Heineken (company site, opens in a new tab)10+ yrsHyderabadOn-siteDirect career pageEst. 30–45 LPA
Posted 2d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead the data engineering team to design, develop, and deliver scalable, reliable, and high-performance data solutions, including pipelines and ETL processes.
- Drive technical excellence by enforcing coding standards, best practices, and architectural guidelines while contributing approximately 60% hands-on development work.
- Collaborate with cross-functional teams, manage technical discussions, and oversee the implementation of DataOps practices and engineering processes.
Minimum Requirements
- Minimum 10 years of IT experience with 7-8 years specifically in Data Engineering.
- At least 3-4 years of experience in team management and stakeholder management.
- Strong expertise in Azure cloud data services including Azure Databricks, Unity Catalog, Delta live tables, Azure Data Factory, and Azure DevOps.
- Proficient coding skills in Python, PySpark, and SQL along with experience in data modeling, ETL pipeline design, and use of Apache Kafka.
Ideal Candidate Profile
- Experienced technical leader capable of balancing hands-on development (~60%) with team management and mentorship duties.
- Proven ability to drive operational excellence and implement modern DataOps practices within a collaborative engineering environment.
- Skilled in stakeholder management and cross-functional technical discussions, with a focus on scalable and reliable data architecture in an Azure cloud environment.