Develop , create and maintain production data pipelines , ETL's in Cloud and on-prem servers and data warehouses to support data applications for business , analytics and ML teams using SQL , Python , Big Data tools like Spark, Hadoop and Kafka. Docker containers and hands-on working with cloud services in AWS and Azure. Work under supervision. Travel And/Or Relocation to unanticipated client sites is required.
Education Required :
Masters Degree in Computers Science, Data Science, Computer Information Systems, Data science, Information Technology, Electrical Engineering, Electronics Engineering, Engineering (Any) or closely related.