SnowFlake Developer

Job Summary

We are seeking a talented and detail-oriented Snowflake Developer to join our data engineering team. The ideal candidate will have strong experience in Snowflake, DBT, Fivetran, ETL/ELT development, and data modeling.

You will be responsible for designing, developing, and optimizing scalable cloud-based data pipelines and data warehouse solutions to support analytics, reporting, and business intelligence initiatives.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Snowflake, DBT, and Fivetran.
• Build and optimize data models, transformations, and workflows for analytics and reporting.
• Develop and manage Snowflake database objects including tables, views, stored procedures, tasks, and streams.
• Implement data ingestion and integration processes from multiple data sources.
• Collaborate with data analysts, business stakeholders, and engineering teams to understand business requirements and translate them into technical solutions.
• Optimize Snowflake performance, query execution, and storage utilization.
• Ensure data quality, consistency, governance, and security across data pipelines.
• Troubleshoot and resolve issues related to data processing and integrations.
• Participate in data warehouse architecture discussions and best practice implementations.
• Create and maintain technical documentation for data pipelines, models, and workflows.

Required Skills

• Strong hands-on experience with Snowflake Cloud Data Warehouse.
• Experience with DBT (Data Build Tool) and Fivetran.
• Strong SQL skills and expertise in ETL/ELT development.
• Experience in data modeling concepts such as star schema and dimensional modeling.
• Knowledge of data warehousing concepts and best practices.
• Experience working with large datasets and cloud-based data platforms.
• Strong analytical, troubleshooting, and problem-solving skills.

Preferred Skills

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of orchestration tools such as Airflow.
• Experience with Python for data engineering tasks.
• Familiarity with BI/reporting tools such as Power BI, Tableau, or Looker.
• Understanding of CI/CD and DevOps practices in data engineering.
• Exposure to Agile/Scrum methodologies.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• Relevant Snowflake or cloud certifications are an added advantage.

Experience

• 3–8 years of experience in Data Engineering or ETL Development.
• Minimum 2+ years of hands-on experience with Snowflake and modern data stack technologies.