Data Engineer
Core
Building and maintaining a scalable, robust, self-service analytics platform and ingestion pipelines for billions of daily events.
Role type
Senior Data Engineer (Infrastructure & Pipelines)
Builds
Scalable data infrastructure, ETL pipelines, and ML platform support
Domain
Telecom / Consumer Apps / Big Data
Deliverable
production ML models | infrastructure
Required skills
Spark (Scala/Python), ETL pipeline design, Cloud platforms (GCP/AWS/Azure), Orchestration (Airflow), CI/CD (Jenkins/Git), Software Engineering principles
Preferred skills
Kafka, Kubernetes, Streaming platforms, Data Warehousing (BigQuery/Redshift)
Responsibilities
Maintain and improve ingestion pipelines for high-volume event delivery, support teams in building and optimizing complex pipelines, develop new tools and frameworks for the data platform, collaborate with data scientists and analysts on production support, work on ML platform and streaming use cases, establish best practices for software and data development
Seniority
Mid-Senior, hands-on IC
