Lead Data Engineer

About the role

Build and maintain batch and near real-time data processing frameworks capable of supporting petabyte-scale workloads. Develop reusable engineering components and frameworks that accelerate data product delivery while maintaining enterprise standards. Design and implement a "build once, run anywhere" architecture supporting seamless deployment across on-premises and public cloud environments without code changes.

What you'll do

• Build and maintain batch and near real-time data processing frameworks capable of supporting petabyte-scale workloads
• Develop reusable engineering components and frameworks that accelerate data product delivery while maintaining enterprise standards
• Design and implement a "build once, run anywhere" architecture supporting seamless deployment across on-premises and public cloud environments without code changes
• Implement data lineage, metadata management, data cataloguing, data quality controls, and observability capabilities across the data ecosystem

What you need

• 6–10 years in data science & ai
• Any graduate