AWS Data Enginer Python, Spark, Airflow, CloudWatch
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
24 days ago
Vacancies:
1 Vacancy
Job Summary
Skills Required:
Digital: Python
Digital: Amazon Web Service (AWS)
Cloud Computing
Incident Management
Digital: Spark
Job Description:
EMR Airflow Lambda Glue and Redshift with CDK and Linux Knowledge
Incident Problem Management
Presentation Skills
Have strong knowledge on AWS and its related services
Have hands-on knowledge on Python Spark AWS Glue and Redshift
Have strong knowledge on Airflow schedule and AWS monitoring tools like CloudWatch and Kibana
Have strong knowledge on AWS EMR services
Have strong knowledge on migrating cloud from on-prem workloads
Have strong knowledge on incident problem change management
Strong problem-solving abilities to troubleshoot and optimize automated processes
Capability to analyze business processes and identify automation opportunities
Excellent Presentation Skills in presenting decks to required stakeholders and business teams
Excellent communication skills to interact with stakeholders and team members
Ability to work collaboratively in a team environment
Strong organizational skills to manage multiple tasks and priorities
Understanding of business operations and how they can be improved through automation
Knowledge of industry-specific regulations and compliance standards
Required Skills:
BASEL
Company Industry
IT Services and IT Consulting
Key Skills
- APIs
- Docker
- Jenkins
- REST
- Python
- AWS
- NoSQL
- MySQL
- JavaScript
- Postgresql
- Django
- GIT
