Senior Data Engineer

Engineering & Platform Development

• Design, develop, and maintain scalable batch and real-time data pipelines.

• Build and optimize ETL/ELT workflows using modern data engineering frameworks.

• Develop and manage data lake, data warehouse, lake house architecture and snowflakes.

• Implement data quality checks, validation frameworks, and monitoring solutions.

• Optimize data processing jobs for performance, scalability, and cost efficiency.

• Collaborate with analytics, BI, and AI teams to deliver trusted datasets.

• Build and maintain cloud-native data platforms on AWS, Azure, or GCP.

• Implement Infrastructure as Code (IaC) using Terraform or equivalent tools.

• Support CI/CD implementation for data engineering workloads.

• Ensure security, compliance, and governance standards across data platforms.

• Work directly with stakeholders to understand business requirements and translate them into technical solutions.

• Participate in architecture discussions, design reviews, and sprint planning.

• Perform code reviews and mentor junior engineers.

• Contribute to technical documentation, standards, and reusable assets.

Innovation & Practice Building

• Evaluate and recommend modern data engineering tools and frameworks.
• Contribute to internal accelerators, reusable components, and best practices.
• Support proof-of-concepts and emerging technology initiatives in analytics, AI, and data platforms.

• Design, develop, and maintain scalable batch and real-time data pipelines.
• Build and optimize ETL/ELT workflows using modern data engineering frameworks.
• Develop and manage data lake, data warehouse, lake house architecture and snowflakes.
• Implement data quality checks, validation frameworks, and monitoring solutions.
• Optimize data processing jobs for performance, scalability, and cost efficiency.
• Collaborate with analytics, BI, and AI teams to deliver trusted datasets.
• Build and maintain cloud-native data platforms on AWS, Azure, or GCP.
• Implement Infrastructure as Code (IaC) using Terraform or equivalent tools.
• Support CI/CD implementation for data engineering workloads.
• Ensure security, compliance, and governance standards across data platforms.