Vodafone | Hiring | Deputy Manager_Assistant Lead_Data Analyst-GBIS | BigDataKB.com | 2022-09-01

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Job Location: Pune

JOb Description


Role Purpose:

  • Working on the D&A transformation programme to migrate all D&A data to Google Cloud across our Operating companies across Europe. You will be part of the workstream which delivers end-reporting to the Local Market D&A teams, and thereby enabling the decommissioning of the legacy reporting stack and on-premise data warehouses, with the help of a team of Data Engineers and Qlik developers.
  • Contribute to the architecture and tooling strategy for the new data warehouses, to be implemented on Google Cloud Platform.
  • Deliver Data Management solutions with the help of a team of Data Analysts and BI developers
  • Drive Local Market transformation and transition from legacy technologies to Cloud
  • Develop a deep knowledge on the data architecture and model of the market supported
  • Develop reusable solutions using different tools to solve many recurring functionalities with best practices in a cost-effective manner.


Core competencies, knowledge and experience:

  • Designing BI solutions, proposing multiple options for best solutions
  • Experience on data architecture and data integration patterns.
  • Experience on leading RDBMS like Oracle, Teradata and Big Data projects.
  • Experience on GCP tool stack like Big Query, Composer, Cloud Storage etc
  • Worked on data warehousing engagements
  • Solution Architecture using Cloud technologies
  • Understanding of Data structures, cost management on cloud platforms, data governance, lineage and reference data management tools.
  • Experienced on working with data consumption (like Qlik, ML, data analytics) teams for fulfilling the right data pipelines requirements
  • Good understanding of LDM/PDM as source and target layers of data pipeline
  • Exp of 8+ years in large BI projects and EDW Architecture
  • Good communication, Presentation and Stakeholder Management Skills
  • 4+ years of experience in data management on Cloud

#_VOIS

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