Strong knowledge on Python full stack development, API integration
Strong hands on experience in API gateway, PySpark, Python, Cloudfront to write reusable, testable, and efficient code. Design and implement of low-latency, high-availability, and performant applications
Strong networking experience on AWS with VPC, Subnets, ACLs, Routing tables and Security Groups and Architecture experience with Spark, AWS and Big Data.
Understanding of Data storage fundamentals using S3, RDS, and DynamoDB. Hands On experience of AWS Compute Services like Glue, EMR & DataBricks and Experience with big data tools Hortonworks / Cloudera.
Experience with application deployment by using CI/CD.
Experience on Spark batch and streaming with Kubernetes
Design Spark batch and streaming with Kubernetes.

Strong knowledge on Linux, shell scripting
Hands on experience on Jira (Scrum/Kanban board/Ticketing)
Hands on experience in scheduling tools/UC4.
Requirement Analysis, Data Analysis/Issue Triage
Very good experience in SQL and RDMS.
Good to have - knowledge on AWS S3.
Superb communication skills with an emphasis on writing and interpreting abilities
Ability to think analytically and should be a problem solver
Negotiates and explains technical solutions to non-technical staff
Able to prioritize and execute tasks in a high-pressure environment under tight schedules
Coordinate with client and offshore team and ensure smooth delivery.