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Job Description & How to Apply Below
Requirement for Lead Data Engineering with experience in Data Vault
About the Role
Location:
Chennai Hybrid
Experience:
10 plus years
Responsibilities
10+ years of overall IT/Data experience, with at least 5+ years dedicated to Enterprise Data Architecture and Data Modeling.
Deep, proven expertise in designing and implementing Data Vault 2.0 architectures (Hubs, Links, Satellites, Hash Keys, PIT/Bridge tables).
Practical experience implementing and guiding teams on AI-assisted development tools (GenAI, LLMs, Copilot) to accelerate data engineering and modeling workflows.
Advanced SQL proficiency and hands-on experience with modern cloud data platforms (e.g., Snowflake, Azure Synapse).
Certified Data Vault 2.0 Practitioner (CDVP2) certification is highly desired.
Experience integrating Data Vault methodologies with automated transformation tools like dbt and utilizing AI to generate dbt macros.
Familiarity with Data Mesh concepts and how Data Vault fits within decentralized architectures.
Give and seek continuous Clarity.
Care about themselves and others.
Make decisions that will Grow our business and people.
Manage Complexity:
Ability to untangle complex data ecosystems into manageable, scalable architectures.
Continuous Learner:
Highly adaptable and constantly updating skills with the latest tech trends (like AI coding tools).
Qualifications
Bachelor’s or Master’s degree in Computer Science, Information Systems, or related technical field.
Required Skills
10+ years of overall IT/Data experience.
5+ years dedicated to Enterprise Data Architecture and Data Modeling.
Deep expertise in Data Vault 2.0 architectures.
Advanced SQL proficiency.
Hands-on experience with modern cloud data platforms.
Preferred Skills
Certified Data Vault 2.0 Practitioner (CDVP2) certification.
Experience with AI-assisted development tools.
Familiarity with Data Mesh concepts.
Pay range and compensation package
Not specified in the job description.
Equal Opportunity Statement
We are committed to diversity and inclusivity in our hiring practices.
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