Data Engineer (AWS, Azure, GCP)
Core
Build and maintain advanced data systems and pipelines on cloud infrastructure to enable decision-making for clients.
Role type
Senior Cloud Data Engineer (Consulting)
Builds
Data pipelines and data products for client organizations
Domain
Cloud Data Engineering / Consulting
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Cloud platform expertise (AWS/Azure/GCP), SQL, Python, database administration, data architecture design, scripting
Preferred skills
Strategic thinking, client culture alignment, modern architectural component utilization
Technologies
AWS, Azure, GCP, SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle, git, docker, Kubernetes, Jenkins, Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR
Responsibilities
Develop data pipelines and data products using major cloud platforms; advise clients on cloud technologies and methodologies for efficient data ingestion and processing; collaborate with end users, developers, and analysts to maximize data architecture value; articulate architectural differences and trade-offs between solution methods.
Seniority
Senior, hands-on IC with strategic advisory component
