• Us Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 2nd Sep 2021

Cloud components, including cluster management, Kubernetes, or other containerized services, storage, and workspace management
• Spark tuning or equivalent performance re-engineering on a big data platform
• Selection of infrastructure components such as GPU’s or CPU’s based on the job/compute needs
• Working with platform teams (Azure, GCP, or AWS) in resolving technical platform issues impacting big data applications
• Translating analytical problems into structured programs, including PySpark or Scala
• Designing data models and solutions for analytical and reporting use cases
• Designing and building a cost model to monitor cloud usage
• Working as a lead on a large-scale cloud implementation
• Managing cloud components, including cluster management, Kubernetes, or other containerized services, storage, and workspace management

Proprietary and Confidential
• Tools used to automate CI/CD pipelines, such as Jenkins, GIT, or Control-M
• Creating Semantic Layer Data Models, preferably on Teradata
• Migrating RDBMS pipelines to Cloud/Hadoop using PySpark or Scala on Spark
• Complex SQL constructs and code optimization on RDBMS, Teradata preferred
• Designing and implementing end-to-end solutions and frameworks using Machine Learning or NLP, such as Scikit-Learn, SpaCity, Pytorch, or Spark NLP
• Proficiency with tools to automate CI/CD pipelines, such as Jenkins, GIT, or Control-M
• Data architecture and data modeling, including creating Semantic Layer Data Models
• “Big data” platforms including Hadoop (preferably Azure or GCP) and technologies including Spark, Airflow, Kafka, Hbase, Pig, NoSQL, etc.
• Traditional relational data warehouse technologies, such as Oracle, Teradata, or DB2 SQL, including Analytical SQL functions