Vacancy expired!
- Senior Experience in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of Google Cloud Platform dataand 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 Google Cloud Platform 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 Google Cloud Platform 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 Google Cloud Platform, Java, Python, Scala, SQL etc.
- Experience in implementing next generation data and analytics platforms on Google Cloud Platform cloud
- Experience in Jenkins, Jira, confluence.
- Data engineering or Data profiling and Data warehousing.
- SQL or Spark, python or Java real-time expertise are a must.
Vacancy expired!