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Achieve Business Excellence with our Expert GCP Data Engineers

2 weeks ago

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GCP Data Engineer in the BFSI Domain: A Crucial Role for Business Growth

">
  • The ideal candidate will collaborate with data science teams, build scalable data pipelines, and develop models that empower business decision-making through advanced analytics.
">Key Responsibilities
  • Collaboration with Data Science Teams: Implement complex algorithms and analytical solutions to drive business outcomes.
  • Agile Development Practices: Improve back-end systems using iterative development methods.
  • Data Flow Modeling: Model front-end and back-end data flows to enable deeper business insights.
  • ETL Pipeline Development: Build and maintain ETL pipelines that clean, transform, and aggregate data.
  • Predictive Model Development: Develop predictive models to drive actionable insights for the BFSI business.
">Required Skills & Qualifications
  • Minimum 4 years of experience in Python, SQL, and data visualization/exploration tools.
  • Hands-on with Google Cloud Big Data tools – BigQuery, Airflow, CI/CD.
  • Strong knowledge of Spark, Hive, Core Java, Linux, and scripting languages.
  • Experience in ETL design, build, and maintenance.
  • Familiar with analytics tools such as Tableau or R.
  • Strong communication skills for collaborating with technical and non-technical stakeholders.
  • Bachelor's degree in Computer Science, IT, Engineering, or equivalent.
  • Professional certification in GCP Data Engineer or related fields (preferred).
  • BFSI domain experience is highly desirable.
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