Lead Data Engineer As a Lead Data Engineer you will architect and lead the development of enterprise-scale data infrastructure You will guide technical strategy mentor engineers and ensure the delivery of high-quality scalable data solutions Tasks Architect and lead the development of robust data pipelines ETL systems and data warehouses Write and review high-quality code in Python and SQL Manage and optimize infrastructure on AWS Azure or GCP Lead the implementation of data orchestration using Airflow or DBT Collaborate with engineering analytics and product teams to align data strategy with business goals Drive adoption of best practices in data architecture performance tuning and automation Mentor team members and promote a culture of technical excellence Professional Requirements and Expertise 6 years of experience in data engineering Bachelors or masters degree in computer science Data Engineering or a related quantitative discipline Deep expertise in data warehousing Python SQL ETL data pipelines and cloud platforms Solid experience with Airflow or DBT for orchestration Good to Have Knowledge of Docker serverless technologies data architecture Spark NoSQL and CI CD Personal Skills Visionary and hands-on technical leader Strong mentoring and team development capabilities Strategic thinker with a proactive mindset Ability to work independently and collaboratively within cross-functional teams Genuine motivation to contribute to 4flows success and align with company culture and values

📌 Lead Data Engineer (Bengaluru)
🏢 4flow
📍 Bengaluru