Cloud Data Engineer
Core
Design, build, and evolve modern cloud data architectures, including scalable ETL/ELT pipelines, data warehouses, and data lakes for prestigious brands.
Role type
Mid-level Cloud Data Engineer
Builds
Scalable data pipelines, Data Warehouse, Data Lake, and ML/AI support systems
Domain
Cloud Data Engineering & AI
Deliverable
production ML models
Required skills
Google Cloud Platform (GCP), AWS, SQL, Python, Apache Airflow, CI/CD, Infrastructure as Code
Preferred skills
Generative AI, LLMs, RAG, Vector Database, LangChain, Terraform, Cloud Certifications
Technologies
BigQuery, Cloud Storage, Cloud Dataflow, Cloud Pub/Sub, Cloud Composer, Amazon S3, AWS Glue, Amazon Athena, AWS Lambda, Amazon Redshift
Responsibilities
Design and develop scalable ETL/ELT pipelines; Implement batch and real-time data processing; Manage and optimize Data Warehouse and Data Lake ecosystems; Collaborate with Data Science and AI teams to integrate ML models; Ensure data quality, security, and compliance; Automate deployment and operational processes.
Seniority
Mid-level, hands-on IC
