Technical Lead Big data

10 years of experience and working as a Lead Data Engineer 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 Data Proc, Cloud Dataflow, Apache Beam composer, Big Table, Cloud Big Query, Cloud Pub Sub, Cloud storage Cloud Functions & GitHub Experience working in GCP and Google Big Query Strong SQL knowledge - able to translate complex scenarios into queries Mentor other data engineers, having a voice in defining the challenging technical culture, and helping to build a fast-growing team Possess excellent written and verbal communication skills with the ability to communicate with team members at various levels, including business leaders Coordinate with developers architects stakeholders and cross functional teams from organization and customer side Strong Programming experience in Python or Java Experience with Data modeling and mapping. Experience in Google Cloud platform (especially Big Query) 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 per forming 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.