Amazon Web Services (AWS), Analysis Skills, Apache, Application Programming Interface (API), Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, Data Management, Django, Linux Operating System, Microsoft SQL Server, Microsoft Windows Azure, PostgreSQL, Python Programming/Scripting Language, REST (Representational State Transfer), Relational Databases (RDBMS), Sales Pipeline
Role:- AWS Data Engineer
Location:- Phoenix, AZ
• At least 2+ years of experience in Python
and Python Frameworks e.g. Django, FastAPI etc.
• Experience in developing RESTful APIs.
Requirements
• Hands-on experience on ELK stack with
experience in building logstash pipeline for a high-volume data flow.
• Proficiency with data flow solutions like
Apache Nifi, Apache Airflow, AWS Glue, Azure Data Factory or similar tools.
• Experience with relational database
management systems such as Microsoft SQL Server, Postgres.
• Basic knowledge of Linux based systems
• Good experience of working on Kubernetes,
Docker and containerized platform.
• Experience in building data pipeline using
Google Cloud native services.
• Knowledge on usage of CICD tools.
•
Soft Skills - analytical attitude, critical thinking, self-driving, proactive
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