Data Engineer
Core
Design, build, and optimize scalable batch and streaming data pipelines and platforms to enable advanced analytics and AI solutions.
Role type
Hands-on Data Engineer
Builds
Scalable ETL/ELT pipelines, real-time data ingestion frameworks, and cloud data solutions
Domain
Big Data Engineering on Google Cloud Platform
Deliverable
production ML models | infrastructure
Required skills
Scala, Apache Spark, Apache Kafka, SQL, Google Cloud Platform (GCP), Data Modeling, CI/CD
Preferred skills
Terraform, Docker, Kubernetes, Google Professional Data Engineer Certification
Technologies
Scala, Spark, Kafka, GCP (BigQuery, Dataflow, Dataproc, Cloud Storage), Airflow, Terraform, Docker, Kubernetes
Responsibilities
Design and maintain scalable ETL/ELT pipelines; Implement and manage real-time data ingestion; Build and optimize data solutions on GCP; Optimize Spark jobs for speed and scalability; Design efficient data models for large-scale datasets; Manage data workflows and implement CI/CD for pipelines
Seniority
Mid-to-Senior (3–10 years experience)
