Director, Data Engineering

About the role

The Director, Data Engineering leads the design, development, and deployment of scalable and secure data pipelines, platforms, and ML/AI infrastructure, leveraging cloud-native technologies and big data frameworks.

What you'll do

• Lead the design, development, and deployment of scalable and secure data pipelines, platforms, and ML/AI infrastructure
• Oversee integration of structured and unstructured data sources to support advanced analytics, machine learning, and AI initiatives
• Evaluate, implement, and champion new tools and technologies to improve productivity, scalability, and effectiveness of data engineering efforts
• Establish and enforce data engineering best practices, technical standards, governance, and quality standards
• Ensure data security, privacy, compliance, system performance, scalability, and availability across all data engineering projects and platforms

What you need

• 13–23 yrs of experience
• Machine learning
• ETL
• LLMs
• Incident response
• Root cause analysis
• MBA or PhD or M.Tech or MCA or M.Sc

Good to have

• Data warehousing
• AWS
• Data modelling
• Spark
• Kafka
• Hadoop