• 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 2022

Roles & Responsibilities:

• Work with implementation teams from concept to operations, providing deep technical subject matter expertise for successfully deploying large scale data solutions in the enterprise, using modern data/analytics technologies on premise and cloud

• Work with data team to efficiently use Google Cloud platform to analyze data, build data models, and generate reports/visualizations

• Integrate massive datasets from multiple data sources for data modelling

• Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product management

• Design pipelines and architectures for data processing

• Create and maintain machine learning and statistical models

• Extract, Load, Transform, clean, and validate data

• Active Google Cloud Data Engineer Certification or Active Google Professional Cloud Architect Certification

• Hands on 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, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github.

• Minimum of 1 year of designing and building production data pipelines from data ingestion to consumption within a hybrid big data architecture, using Cloud Native GCP, Python, SQL etc.

• Minimum 1 year of hands-on GCP experience with a minimum of an end to end solution designed and implemented at production scale.