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Job Description & How to Apply Below
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
Competencies Amazon Web Service (AWS) Cloud Computing, Python for Data Science, Microsoft SQL Server 2019, PySpark, Netezza
Experience (Years) 8-10
Essential Skills Data 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
Employment type
Full-time
Job function Information Technology
Industries Information Services
#J-18808-Ljbffr
Position Requirements
10+ Years
work experience
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