Data Engineer (AWS, Azure, GCP)
Core
Build and maintain advanced data systems by developing pipelines and preparing data from disparate sources for decision-makers, data scientists, and analysts.
Role type
Cloud Data Engineer (Consulting)
Builds
Data pipelines and data products leveraging client cloud infrastructure (AWS, Azure, GCP)
Domain
Cloud Data Engineering / Consulting
Deliverable
production ML models | product features
Required skills
SQL, Python, Cloud platform expertise (AWS/Azure/GCP), Data architecture design, Database administration, Scripting
Preferred skills
Strategic thinking, Client culture alignment, Modern architectural components assessment
Technologies
AWS, Azure, GCP, SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle, Docker, Kubernetes, Jenkins, Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR
Sourced via smartrecruiters · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
