Data Engineer II

About the role

We're looking for a passionate Data Engineer II to help build and scale the data platform that powers analytics, product insights, and data-driven decision making across the organization. You'll work on modern data technologies including Kafka, Maxwell, Spark, S3, Trino, BigQuery, dbt, and Metabase to build reliable, scalable, and high-performance data systems.

What you'll do

• Design, build, and maintain scalable batch and real-time data pipelines using Maxwell, Kafka, Spark, and dbt to power analytics and business-critical applications
• Develop and optimize data models following Medallion Architecture (Bronze, Silver, Gold) to create reliable, reusable, and high-quality datasets
• Build and maintain cloud-native data platforms using S3, Spark, Trino, and BigQuery, ensuring scalability, reliability, and cost efficiency
• Design robust data ingestion frameworks leveraging CDC (Maxwell), Kafka, and event-driven architectures to support near real-time data processing
• Create, optimize, and maintain data warehouses and data marts that enable fast, reliable reporting and self-service analytics

What you need

• 4–7 yrs of experience
• SQL
• ETL
• Python
• Kafka
• Spark
• dbt
• Any graduate

Good to have

• AWS
• BigQuery
• Data modelling
• CI/CD
• Test automation
• Scala