Data Lead

Vacancy expired!

Data Engg Focused Role:

• Senior Experience in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of Google Cloud Platform 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 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

Vacancy expired!