Senior Data Engineer

About the role

The Data Engineer will be responsible for designing, building, and maintaining scalable and reliable data pipelines and data platforms to support analytics, reporting, and downstream applications. The role involves working across the entire data lifecycle - ingestion, processing, storage, and consumption with a strong focus on data quality, performance, and operational stability.

What you'll do

• Design, develop, and maintain batch and near real-time data pipelines using modern data engineering frameworks and tools
• Implement and manage data ingestion, ETL/ELT workflows, and data transformations from multiple internal and external data sources
• Build and optimize scalable data processing solutions using distributed computing frameworks (e.g., Spark)
• Develop and manage datasets for analytics, dashboards, and reporting use cases
• Monitor pipeline performance, data freshness, and reliability; proactively identify and resolve issues

What you need

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