Key skills
AirflowApacheBigQueryCloudGoogle Cloud PlatformJavaKotlinMongoDBPythonScalaSparkSQLTerraformAIMachine LearningMLApache AirflowGCPGoogle Cloudcomposer
About this role
Role Overview
- developing backend services using Kotlin or Java
- processing large datasets using Scala and BigQuery
- designing and maintaining data pipelines with Apache Airflow in the Google Cloud Composer environment
- working with Google Cloud Platform to ensure scalable and efficient solutions
- preparing and transforming datasets for machine learning processes
- supporting AI/ML model training and experimentation
- performing data analysis and presenting insights to support business decisions
- collaborating with engineers, data scientists, and stakeholders throughout the project lifecycle
Requirements
- 3–5 years of experience in Software Engineering
- strong knowledge of Kotlin or Java
- experience with MongoDB and strong SQL skills (especially BigQuery)
- knowledge of Scala and experience with large-scale data processing
- hands-on experience with Apache Airflow or Google Cloud Composer
- experience working in GCP and using Terraform
- knowledge of Python or Scala ecosystems for data processing (e.g. Spark)
- understanding of the machine learning lifecycle and dataset preparation
- analytical mindset and ability to work independently
- ability to communicate insights to technical and non-technical stakeholders
Tech Stack
- Airflow
- Apache
- BigQuery
- Cloud
- Google Cloud Platform
- Java
- Kotlin
- MongoDB
- Python
- Scala
- Spark
- SQL
- Terraform
Benefits
- culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills