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
Senior Cloud Data Engineer (Consulting)
Builds
Data pipelines and data products on AWS, Azure, or GCP
Domain
Cloud Data Engineering / Consulting
Deliverable
production ML models | product features
Required skills
SQL, Python, Cloud Architecture (AWS/Azure/GCP), Database Administration, Scripting, Data Pipeline Design
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
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 business analysts to maximize data architecture value; Articulate architectural differences and trade-offs between solution methods.
Seniority
Senior, hands-on IC
