Description: As a Lead Data Engineer, you will play a pivotal role in shaping our data infrastructure, enabling fast, reliable insights that drive strategic decisions in our rapidly growing FTTH business. You will work closely with cross-functional teams, designing and implementing scalable data solutions that empower our operations and customer experience.

Key Responsibilities: Architect and deploy ETL pipelines that efficiently ingest and process large-scale customer, network, and operational data. Design cloud-based data solutions tailored for an FTTH environment, optimizing data lakes, warehouses, and marts. Build real-time and batch processing pipelines to support network performance monitoring, demand forecasting, and customer analytics. Develop reusable components for data transformation, ensuring scalability, resilience, and fault tolerance. Collaborate with business and engineering teams to translate complex data needs into actionable solutions, supporting analytics and AI-driven insights. Establish strong data governance, security, and quality control measures to maintain integrity and compliance. Continuously evaluate emerging technologies, ensuring our data infrastructure remains cutting-edge and cost-effective. Qualifications: Bachelor's Degree in Computer Science, Data Science or a relevant field 6+ years of experience designing, developing, and deploying data solutions in high-growth environments, preferably telecom or broadband-related. Deep expertise in cloud platforms (AWS preferred) with hands-on experience in data lakes, warehouse architecture, and pipeline automation. Strong programming skills in Python, SQL, and experience with Big Data frameworks (Spark, Hadoop). Ability to implement streaming architectures (Kafka) for near real-time insights into network performance and customer behavior. Familiarity with LLMs and AI/ML applications, exploring innovative ways to enhance FTTH operations. Exceptional communication and stakeholder management skills, able to bridge technical solutions with business impact. Comfortable working in a dynamic startup environment, adapting quickly to evolving challenges and opportunities. Telecom industry experience and familiarity with network analytics, customer segmentation, and fiber deployment strategies are highly desirable. Requirements: