As the Data Engineering Lead, you will be a leader of the data engineering team
working on in-house products in for Data Foundation Collaborating closely with Product Owner(s), Product Architect(s) and other Data Ops teams you will need to understand the business needs, helping Product Architect(s) to convert those needs into solution architecture specifications and services in line with overall engineering standards and roadmaps. You will be driving excellence in engineering practices to deliver high-quality solutions throughout the software development lifecycle in our IT landscape. This role involves hands-on development work.
This role will directly report to Engineering Manager
Required skills & Experience
Min 10 years of IT expereince is required including min 7-8 yrs of Data Engineering expereince. Min 3-4 years of experience in Team Management and Stakeholder Management. Robust experience in Azure cloud data services & technologies Azure Databricks, Unity Catalog, Delta live table Expert in Python,
Pyspark and SQ Data Modelling & Architectur ETL pipeline desig Azure Data Factor Azure Dev Op Logging and Monitoring using Azure / Databricks service Apache Kafka Responsibilities
Lead a team of experienced team members of Data Engineers in designing, developing, and delivering scalable, reliable, and high performing software solution Lead the design, development, and maintenance of scalable data pipelines and ETL processes. Monitor and optimize data infrastructure performance, identifying and resolving bottlenecks and issues Lead the team from a technical standpoint, and drive operational excellence, including code reviews, design reviews, testing, and deployment processes. Be an individual contributor (~60%) engineering the software products/solutions, jointly with the team and ensure that the team adheres to coding standards, best practices, and architectural guidelines, oversee team spirit and team
📌 Data Engineering Lead (Hyderabad)
🏢 The HEINEKEN
📍 Hyderabad
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