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Futran Tech Solutions Pvt. Ltd.

Technical Lead Big data

Futran Tech Solutions Pvt. Ltd., Atlanta, Georgia, United States, 30383


10 years of experience and working as a Lead Data EngineerSenior 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 & GitHubExperience working in GCP and Google Big Query Strong SQL knowledge - able to translate complex scenarios into queriesMentor other data engineers, having a voice in defining the challenging technical culture, and helping to build a fast-growing teamPossess excellent written and verbal communication skills with the ability to communicate with team members at various levels, including business leadersCoordinate with developers architects stakeholders and cross functional teams from organization and customer sideStrong 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 cloudActive Google Cloud Data Engineer Certification or Active Google Professional Cloud Architect Certification will be greatData migration experience from on prim legacy systems Hadoop, Exadata, Oracle Teradata, or Netezza to any cloud platformExperience with Data Lake, data warehouse ETL build and designExperience 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 cloudExperience in Jenkins, Jira, confluence.