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Job Description & How to Apply Below
Overview
Role
Description:
- Have strong knowledge on AWS, and its related services
- Have hands-on knowledge on Python, spark, spark, AWS glue and redshift
- Have strong knowledge on airflow schedule and AWS monitoring tools like Cloud watch 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.
- Skill in data interpretation and making data-driven decisions
- 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
Amazon Web Service (AWS) Cloud Computing, Python for Data Science, Microsoft SQL Server 2019, PySpark, Netezza
Experience (Years)8-10
Essential SkillsData Bases like SQL, Netezza and Bigdata tools like Hadoop Data Lake, Data warehouse and ETL, ELT AWS cloud and Data management
Seniority level- Mid-Senior level
- Full-time
- Information Technology
- Information Services
Position Requirements
10+ Years
work experience
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