Job Description:

Build and evolve backend services for data ingestion and analytics.

Design and maintain scalable data pipelines across batch, near real-time, and ML/AI use cases.

Collaborate on improving data platform architecture, reliability, and performance.

Mentor and support the growth of junior and mid-level Data Engineers.

Contribute to engineering best practices in CI/CD, observability, versioning, and automation.

Qualifications :

Experience as Senior IC (6-8+ years experience).

Strong proficiency in Python.

Exposure in Golang will be a huge plus.

Experience with modern data platform stacks (e.g., Pub/Sub, Airflow, BigQuery, ClickHouse, Cloud Run/Functions).

Exposure to ML/AI platform tooling (e.g. Vertex AI, MLflow) from a data platform or infrastructure perspective.

Solid understanding of data modeling, distributed systems, observability, and API-based architectures.

Cost-conscious mindset in cloud environments (GCP preferred).

Comfortable working independently while collaborating closely with peers.