We are looking for an experienced Senior Data Vault Developer with strong expertise in Snowflake and Data Vault 2.0 modeling. The candidate should have hands-on experience in data warehousing, data modeling, and ETL/ELT development, with the ability to build scalable, reliable, and high-performance data solutions.

Your Future Duties and Responsibilities

- Design, develop, and maintain data pipelines using Snowflake, dbt, and cloud platforms such as AWS, Azure, or GCP.
- Implement data modeling, schema design, and performance tuning in Snowflake.
- Apply Data Vault 2.0 modeling techniques, including Hubs, Links, and Satellites, to build scalable and auditable data warehouse solutions.
- Support the migration of legacy data warehouses to Snowflake using Data Vault methodologies.
- Develop and optimize ETL/ELT workflows for structured and semi-structured data.
- Collaborate with cross-functional teams to understand business requirements and deliver effective data solutions.
- Ensure data quality, governance, and security compliance across the data ecosystem.
- Automate data workflows using Snowflake features such as Tasks, Streams, and Stored Procedures.
- Troubleshoot existing data pipelines and optimize workflows for performance, efficiency, and reliability.
- Implement best practices for data integration, transformation, and warehouse development.




- Stay updated with the latest Snowflake features and data engineering best practices.

Required Qualifications to Be Successful in This Role

- 6+ years of relevant experience in data engineering, data warehousing, or data development.
- Strong hands-on experience with Snowflake and Data Vault 2.0.
- Expertise in Data Vault modeling concepts, including Hubs, Links, and Satellites.
- Robust proficiency in SQL and data warehousing concepts.
- Hands-on experience with dbt for data transformation and development.
- Experience with ETL/ELT tools such as Informatica, Talend, Matillion, or Fivetran.
- Knowledge of cloud platforms such as AWS, Azure, or GCP.
- Experience with Snowflake performance tuning, query optimization, and data pipeline development.
- Familiarity with Python, Scala, or Java for scripting and automation.
- Strong analytical, problem-solving, and debugging skills.
- Bachelor's degree in Computer Science, Information Technology, or a related field.

Preferred Qualifications:

- Exposure to big data technologies such as Apache Spark and Hadoop.
- Experience with BI tools such as Tableau, Power BI, or Looker.
- Knowledge of CI/CD pipelines and DevOps practices.
- Prior experience in data warehouse migration projects involving Snowflake and Data Vault.

📌 Senior Data Vault Developer (Bengaluru)
🏢 CGI
📍 Bengaluru