Description

Job Duties
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

Key Skills

Education

Any Graduate