Sr. Data Engineer with Data Vault Experience
Indexed description
- Company overview
- Our Approach
- Our Values and Core Principles
- Careers
- Events
Responsibilities
- Design and implement Data Vault 2.0 models (Hubs, Links, Satellites) using best practices.
- Define and maintain taxonomy and ontology frameworks for domain separation and agility.
- Build scalable data pipelines using BigQuery, Dataflow, and Cloud Composer.
- Implement governance, classification, quality rules, and lineage using Dataplex.
- Develop complex SQL transformations and optimize performance for analytical workloads.
- Collaborate with architecture, product, and analytics teams to deliver governed, scalable data models.
Location: Chennai
Employment Type: Full-time
Qualifications
- 6+ years of experience in data engineering, data warehousing, or analytics engineering roles.
- Strong hands-on experience in Data Vault modelling & design.
- Advanced SQL skills and strong data warehousing fundamentals.
- Practical experience with GCP BigQuery, Dataflow, Cloud Composer, and Dataplex.
- Knowledge of taxonomy, ontology, and metadata-driven modelling practices.
- Exposure to Workday data structures and HR/People Analytics domain understanding.
- Exposure to dbt, Snowflake, or Databricks.
- Familiarity with CI/CD and cloud-native engineering best practices.
- Good analytical, problem-solving, and collaboration skills.
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