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Data Vault Developer

Data Vault Developer

MINDTEL GLOBAL PRIVATE LIMITEDHyderabad
30+ days ago
Job description

We are looking for an experienced Data Vault Developer to join our data engineering team.

The ideal candidate will have extensive experience in Data Vault 2.0 modeling, data warehousing, and ETL development.

You will be responsible for designing, implementing, and optimizing scalable Data Vault models and collaborating with business and technical stakeholders to ensure high data quality and integrity.

Key Responsibilities :

  • Design and develop scalable Data Vault models including hubs, links, and satellites for enterprise and operational data.
  • Perform data mapping from various structured / unstructured source systems to the Data Vault architecture.
  • Collaborate with business analysts, data stewards, and domain experts to gather requirements and ensure data models meet business needs.
  • Implement data quality management strategies including validation, cleansing, de-duplication, and transformation logic.
  • Ensure data consistency, traceability, and auditability across the warehouse architecture.
  • Use modeling tools like Coalesce or DBT to develop, maintain, and automate Data Vault structures.
  • Develop and maintain ETL / ELT pipelines using tools such as Databricks, Informatica, Talend, or custom scripts.
  • Support performance tuning, query optimization, and scalability enhancements for warehouse solutions.
  • Ensure compliance with data governance and security policies.

Required Skills & Qualifications :

  • 5+ years of experience in data engineering and / or data warehousing.
  • Hands-on expertise in Data Vault modeling techniques, including strong understanding of hubs, links, and satellites.
  • Strong experience with SQL, data modeling, and database design principles.
  • Experience with ETL tools like Databricks, Informatica, Talend, or equivalent.
  • Proficient in data quality, data cleansing, and deduplication methods.
  • Experience working with Data Vault automation tools like Coalesce or DBT is preferred.
  • Understanding of KPI design, metrics frameworks, and data product development.
  • Familiarity with cloud platforms like AWS, Azure, or GCP.
  • Exposure to Agile / Scrum methodologies.
  • Experience with Data Governance, Master Data Management (MDM), or Metadata Management.
  • Educational Qualifications :

    Bachelors or Masters degree in Computer Science, Information Systems, Engineering, or related field

    ref : hirist.tech)

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