Senior Data Engineer
Core
Building scalable batch and streaming data ingestion pipelines, designing dimensional models in BigQuery/dbt, and preparing ML-ready feature datasets for Data Science teams.
Role type
Senior Data Engineer (GCP/Big Data)
Builds
Enterprise data pipelines, semantic layers, and ML feature datasets
Domain
Telecom / Big Data / Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python, Scala, Java, Apache Spark (PySpark/Scala), GCP services (BigQuery, Cloud Composer, Pub/Sub, Dataflow, Dataproc), dimensional data modeling, data ingestion framework design
Preferred skills
MLOps, automated testing, Docker, Terraform, CI/CD automation, BI tools (Looker, Power BI)
Technologies
BigQuery, Cloud Composer, Pub/Sub, Dataflow, Dataproc, Apache Spark, dbt, Docker, Terraform, Looker, Power BI
Responsibilities
Build batch and streaming ingestion pipelines from enterprise systems into Google Cloud; Design dimensional models, schemas, and semantic layers in BigQuery and dbt; Partner with Data Science teams to prepare ML-ready feature datasets; Implement automated data quality checks and performance optimizations
Seniority
Senior, hands-on IC