Data Transformation Specialist

5 hours ago

Varanasi, Uttar Pradesh, India beBeeDataTransformation Full time US$ 1,40,000 - US$ 1,60,000
Data Transformation Specialist

Transform your career as a Data Transformation Specialist, where you'll work closely with clients to modernize their data infrastructures and architecture.

This role offers the opportunity to leverage your expertise in cloud-first strategies, consulting clients on process and technical matters, and becoming a champion and trusted advisor on Data Engineering.

  • Consulting clients on cloud-first strategies for core business initiatives
  • Providing thought leadership on process and technical matters
  • Becoming a champion and trusted advisor to our clients on Data Engineering
  • Designing, developing, deploying, and supporting the modernization and transformation of client's end-to-end data strategy
  • Mentoring and educating client's teams on the latest approaches, tools, and skills

Required Skills:

  • Microsoft Certified Azure Data Engineer Associate or Fabric Data Engineer Associate certification
  • Experience working in consulting or contracting capacity in large data management and modernization programs
  • Strong knowledge and experience with SQL Servers, data engineering, on platforms such as Azure Data Factory, Databricks, Data Lake, and Synapse
  • Strong knowledge of securing Azure environment, including RBAC, Key Vault, and Azure Security Center
  • Strong problem-solving skills and ability to resolve issues quickly
  • Strong knowledge of Scala or Python programming languages
  • Strong knowledge of Linux administration and networking
  • Scripting skills and Infrastructure as Code (IaC) experience using PowerShell, Bash, and ARM templates
  • Understanding of security and corporate governance issues related to cloud-first data architecture
  • Agile development methodology experience

Key Responsibilities:

  1. Leverage your expertise to design, develop, deploy, and support the modernization and transformation of client's end-to-end data strategy
  2. Consult with clients on cloud-first strategies for core business initiatives
  3. Provide thought leadership on process and technical matters
  4. Identify opportunities for improvement in data infrastructure and architecture
  5. Mentor and educate client's teams on the latest approaches, tools, and skills

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