Job Title: Data Engineer – Snowflake & dbt
Location: Hyderabad
Experience: 4–8 years
Role Overview
We are looking for a highly skilled Data Engineer with strong hands-on experience in Snowflake and dbt to design, build, and optimize modern cloud data platforms.
The ideal candidate will work closely with Data Architects, Analytics Engineers, and business stakeholders to deliver scalable, high‑performance data solutions following modern ELT and analytics engineering best practices.
Key Responsibilities
Data Platform & Pipeline Development
- Design, develop, and maintain end-to-end ELT pipelines on Snowflake
- Build scalable and reliable batch data pipelines using SQL and Python
- Implement and manage Bronze → Silver → Gold data layer architectures
- Ensure high data quality, reliability, and performance across pipelines
dbt & Analytics Engineering
- Develop and maintain dbt models, tests, snapshots, and documentation
- Implement dimensional and analytical data models for reporting and BI
- Apply dbt best practices: modular models, testing, freshness checks, and exposures
- Optimize transformation logic for cost and performance in Snowflake
Performance & Optimization
- Tune SQL queries and Snowflake warehouse usage for performance and efficiency
- Manage clustering, partitioning, and resource monitoring in Snowflake
- Identify and resolve data quality and pipeline performance issues
Collaboration & Delivery
- Work closely with Data Architects, BI teams, and business stakeholders
- Participate in requirement gathering, design discussions, and code reviews
- Contribute to Agile/Scrum ceremonies and sprint deliveries
- Maintain clear documentation for data models, pipelines, and processes
Required Technical Skills
- Strong hands-on experience with Snowflake
- Warehouses, schemas, roles, performance tuning, cost optimization
- Strong experience with dbt (Core or Cloud)
- Models, macros, tests, snapshots, CI/CD integration
- Advanced SQL skills (analytical queries, optimization techniques)
- Working experience with Python for data processing or orchestration
- Experience with data modeling:
- Dimensional modeling (Star/Snowflake schema)
- Analytical and reporting-oriented models
- Experience with Git-based version control and CI/CD pipelines
Good to Have
- Experience with ingestion tools such as Fivetran, Informatica, Matillion, Kafka, or Airflow
- Exposure to cloud platforms (AWS / Azure / GCP)
- Experience supporting BI tools like Power BI, Looker, Tableau, Sigma
- Prior experience with data migrations from on‑prem or legacy warehouses
- Familiarity with data governance, data quality frameworks, and monitoring
Soft Skills & Competencies
- Strong problem-solving and analytical skills
- Ability to work independently and in team-based delivery models
- Clear communication with technical and non-technical stakeholders
- Ownership-driven mindset with attention to detail
- Comfortable working in fast‑paced, client-facing environments
Education
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
