Technical Lead - Data Engineer (Data&AI)

About the role

We are looking for a Lead Data Engineer who combines hands-on multi-platform expertise with strong leadership in data architecture, pipelines, and CI/CD. This role requires a versatile engineer with deep technical skills across modern data platforms (such as Databricks, Snowflake, AWS, and Azure), an understanding of MLOps/DevOps practices, and the ability to guide a high-performing team in building scalable, production-ready data solutions.

What you'll do

• Data Integration & Orchestration: Build and manage robust data pipelines using Apache Airflow for orchestration and Airbyte for seamless data integration and movement
• Not be limited to a single platform but will leverage a diverse toolkit to solve complex data challenges

What you need

• 5–9 yrs of experience
• Machine learning
• SQL
• MLOps
• ETL
• Python
• Snowflake
• Any graduate

Good to have

• Kafka
• Docker
• AWS
• LLMs
• Databricks
• Spark