Description

You will build and maintain backend services and data pipelines within a GCP environment.

Responsibilities

• Design, implement, and maintain backend services and APIs using Python.
• Build and optimize data pipelines using Apache Airflow.
• Develop infrastructure-as-code for GCP resources including Pub/Sub, Cloud Functions, BigQuery, and Cloud Storage.
• Ensure system reliability through automated testing, monitoring, alerting, and production troubleshooting.
• Collaborate with product and frontend teams to define service contracts and mentor junior engineers.

Required Skills

• 5+ years of professional development experience.
• Strong proficiency in Python.
• Hands-on experience with Apache Airflow, including authoring DAGs, operators, and scheduling.
• Working knowledge of Google Cloud Platform (Compute Engine, Cloud Functions, BigQuery, Pub/Sub, IAM).
• Experience with Docker for containerization and CI/CD tools like GitHub Actions or Cloud Build.
• Solid understanding of SQL and relational databases.
• Familiarity with RESTful API design.
• Commitment to code quality through automated tests, linting, and type checking.
• Any Graduate degree.

Preferred Skills

• Experience with Terraform or other IaC tools.
• Knowledge of Kubernetes, serverless architectures, or event-driven systems like Dataflow and Kafka.
• Background in statistical analysis, data modeling (NumPy, pandas, SciPy), or machine learning frameworks (scikit-learn, TensorFlow, PyTorch).

Key Skills

Education

Any Graduate