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, Java, R, C#, C++, database administration, scripting, data architecture design, cloud platform expertise
Preferred skills
Strategic thinking, ability to relate architectural decisions to business needs, experience with traditional and modern architectural components
Technologies
AWS, Microsoft Azure, Google Cloud Platform, 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 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
Mid-level to Senior, hands-on IC
