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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 Strongproblem-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, Datawarehouse 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
