We are seeking an experienced data engineer to design, build, and optimize Snowflake data warehouses using DBT. The role focuses on end‑to‑end data pipeline development and performance tuning for enterprise analytics. Candidates will work closely with cross‑functional teams to ensure data reliability and scalability.
What You’ll Do
- Develop scalable Snowflake schemas and tables for diverse data sources.
- Implement DBT models to transform and load data efficiently.
- Optimize query performance and manage warehouse costs.
- Collaborate with analysts to translate business requirements into data solutions.
- Conduct code reviews and enforce data engineering best practices.
- Monitor data pipelines and resolve production issues promptly.
- Document data architecture and maintain technical specifications for future reference.
What You Need
- 8‑12 years of hands‑on Snowflake development.
- Strong expertise in DBT model building and testing.
- Proficiency in SQL and data modeling concepts.
- Experience with ETL/ELT pipeline design.
- Familiarity with cloud platforms (AWS, Azure, or GCP).
- Ability to write performant, maintainable code.
- Experience with version control systems like Git for collaborative development.
The Opportunity
The interview will be conducted virtually on 26 August, between 11 am and 3 pm, allowing candidates from Chennai, Bangalore, or Hyderabad to participate. Successful candidates will join a leading global consultancy renowned for innovative data solutions.