Lead Data Engineer

Skillset Required

7+ years of experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.

Expertise in big data technologies such as Apache Spark and real-time streaming technologies like Apache Kafka.

Strong programming skills in Python, Java, C++, SQL etc.

Advanced knowledge of a major cloud platform (AWS, Azure, GCP) and its ecosystem of data services.

Proficiency with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.

Strong understanding of advanced data modeling techniques and modern data warehouses. Ability to design scalable, fault-tolerant, and maintainable distributed systems.

Excellent communication and stakeholder management skills.

What Youll Do

Design, build, deploy, and own complete, scalable, and reliable data platforms and solutions.

Lead the technical design of new data pipelines, services, and systems.

Build reusable frameworks, libraries, and data management tools to improve productivity.

Optimize performance and cost-efficiency of data workflows and compute layers.

Collaborate with stakeholders such as data scientists, business analysts, and product managers to understand and translate business requirements into technical solutions.

Provide technical leadership and mentorship to junior engineers.

Ensure the uptime, reliability, and monitoring of the systems you build and own.