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VP- Data Engineering_COE

Date:  13 Oct 2025
Company:  Qualitest Group
Country/Region:  IN

Req ID: 20177_ 8753

Location: Any between Chennai, Hyderabad, Bangalore, Noida

Role Overview:

We are seeking a highly experienced leader for our Data Engineering Center of Excellence (CoE). This role requires a strong blend of strategic leadership, hands-on expertise, and the ability to build differentiators in the data space. The VP will be responsible for establishing and scaling our Data Engineering CoE, developing cutting-edge capabilities, and contributing to strategic customer engagements and proposals.

Key Responsibilities:

  • Lead Data CoE Build capabilities/ differentiators in data engineering field including Data migration, Data modernization and Data governance
  • Define differentiating solutions for Data related RFPs/ proposals
  • Build Data Engineering practice with strong foundation
  • Customer discussions Drive the vision, strategy, and execution of the Data CoE to position the organization as a thought leader in the industry.

Skills & Experience Required:

  • 18+ years of overall IT experience, with a minimum of 5 years dedicated to data engineering and related areas.
  • Strong hands-on experience in Azure and AWS data ecosystems, including services like: Azure Data Factory, Synapse, Databricks, Purview, AWS Glue, Redshift, S3, Lake Formation, etc.
  • Proven track record of delivering large-scale data migration and modernization projects.
  • Proficiency in Python for data processing, scripting, and automation.
  • Working knowledge of AI/ML concepts and understanding of their impact on modern data architectures and governance.
  • Experience in building or contributing significantly to data or analytics practices within a consulting or services organization.
  • Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications:

  • Bachelor’s or master’s degree in computer science, Data Engineering, or related fields.

Why Join Us?

  • Opportunity to shape the future of data engineering for a global organization.
  • Work with cutting-edge technologies and global clients.
  • Lead a high-impact team and drive industry-defining solutions.
  • Supportive leadership, innovation-driven culture, and strong investment in capability development.

 

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