Data Engineering Lead

The HEINEKEN Company; Hyderabad; On-site; INR 4,000,000 - 9,000,000; Full time

Job summary

The HEINEKEN Company in Hyderabad is seeking a Data Engineering Lead who will head the data engineering team, drive architecture, and deliver scalable data solutions for in-house products.

You will work with Product Owners and DataOps teams, mentor engineers, ensure best practices across the SDLC, and hands-on coding ~60% while guiding strategic technical decisions. This role demands deep Azure data services, PySpark, Python, SQL expertise and strong collaboration.

Qualifications

• Minimum 10 years IT experience including 7–8 years in Data Engineering.
• Minimum 3–4 years of Team Management and Stakeholder Management.
• Strong experience in Azure cloud data services & technologies.
• Expert in Python, PySpark and SQL.
• Logging and Monitoring using Azure / Databricks services.

Responsibilities

• Lead a team of Data Engineers in designing, developing, and delivering scalable, high performing software solutions.
• Lead the design, development, and maintenance of scalable data pipelines and ETL processes; monitor and optimize data infrastructure.
• Lead the team from a technical standpoint, driving operational excellence including code reviews, design reviews, testing and deployment.
• Be an individual contributor (~60%) engineering the software products/solutions with the team while ensuring coding standards and architecture.
• Oversee the implementation of the technical architecture and solve immediate technical challenges.
• Implement dataops best practices; drive development approach, and address technical debt.
• Hire, onboard, mentor, and develop top engineering talent; foster learning and collaboration.
• Lead cross-team technical discussions and represent the domain in broader technical forums.
• Coordinate with Engineering Manager, Product Owner, Business Analyst and Scrum Master for sprint goals and resource allocation.

Skills

Data Engineering

Python

PySpark

SQL

Azure Cloud

Logging & Monitoring

Team Management

Stakeholder Management

SDLC

Tools

Azure Databricks

Job description

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 DataOps 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.
• Strong experience in Azure cloud data services & technologies
• Expert in Python, Pyspark and SQL
• Logging and Monitoring using Azure / Databricks services

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 performance, guide and mentor team members.
• Oversee the implementation of the technical architecture, solve immediate technical challenges.
• Implement good practices, coding standards and modern architecture for DataOps; be a “go-to-person for technical decisions and problem-solving within the team and Ensure that the execution of DataOps is in place in the team's daily work, Inspire, advise, and drive the selection of development approach, coordinate software development and address technical debt in the team.
• Hire, onboard, mentor, and develop top engineering talents, fostering a culture of learning, collaboration, and continuous improvement.
• Lead technical discussions with other teams/departments and oversees state-of-art quality of the stack,.May be involved in cross-functional discussions, representing the domain in broader technical discussions across domains.
• Responsible for designing and improving processes that enhance efficiency and quality communication with Engineering Manager, Product Owner, Business Analyst and Scrum Master to align on project. / sprint goals, timeline and resource allocation