Job Location: Alpharetta, GA
Job Description
- 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 detailed assessments of current state data platforms and creating an appropriate transition path to the 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 the GCP cloud
- Experience in Jenkins, Jira, confluence.
- Data engineering or Data profiling and Data warehousing.
- SQL or Spark, python, or Java real-time expertise is a must.
Submit CV To All Data Science Job Consultants Across United States For Free
