Snowflake Data Engineer with DBT

Hiring Snowflake+DBT data engineers!

Experience-6+ years

Work mode-Hybrid

Job location-Hyderabad

Role & responsibilities

1. Data Pipeline Development: Design, build, and maintain efficient data pipelines using Snowflake and DBT.
2. Data Modeling: Develop and optimize data models in Snowflake to support analytics and reporting needs.
3. ETL Processes: Implement ETL processes to transform raw data into structured formats using DBT.
4. Performance Tuning: Optimize Snowflake queries and DBT models for performance and scalability.
5. Data Integration: Integrate Snowflake with various data sources and third-party tools.
6. Collaboration: Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions.
7. Data Quality: Implement data quality checks and testing to ensure the accuracy and reliability of data.
8. Documentation: Document data transformation processes and maintain comprehensive records of data models and pipelines.

Preferred candidate profile

• Proficiency in SQL: Strong SQL skills for writing and optimizing queries.
• Experience with Snowflake: Hands-on experience with Snowflake, including data modeling, performance tuning, and integration.
• DBT Expertise: Proficient in using DBT for data transformation and modeling.
• Data Warehousing: Knowledge of data warehousing concepts and experience with platforms like Snowflake.
• Analytical Thinking: Ability to analyze complex data sets and derive actionable insights.
• Communication: Strong communication skills to collaborate with cross-functional teams.
• Problem-Solving: Excellent problem-solving skills and attention to detail.