• US Citizen

• H1B Work Permit

• Corp-Corp

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 3rd Mar 2023

•       Senior Experience in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Spark, Hive, Databrick, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github

·        Experience working in GCP and Google Big Query Strong SQL knowledge - able to translate complex scenarios into queries.

·        Strong Programming experience in Python or Java Experience with Data modeling and mapping.

·        Experience in Google Cloud platform (especially BigQuery) Experience developing scripts for flowing data into GBQ from external data sources.

·        Experience in Data Fusion for automation of data movement and QA. Experience with Google Cloud SDK & API Scripting.

•       Experience in performing detail assessments of current state data platforms and creating an appropriate transition path to GCP cloud

•       Active Google Cloud Data Engineer Certification or Active Google Professional Cloud Architect Certification will be great

•       Data migration experience from on prim legacy systems Hadoop, Exadata, Oracle Teradata, or Netezza to any cloud platform

•       Experience with Data lake, data warehouse ETL build and design

•       Experience in designing and building production data pipelines from data ingestion to consumption within a hybrid big data architecture, using Cloud Native GCP, Java, Python, Scala, SQL etc.

•       Experience in implementing next generation data and analytics platforms on GCP cloud

·        Experience in Jenkins, Jira, confluence.

Data engineering or Data profiling and Data warehousing.

• SQL or Spark, python or Java