What is your mission? 

You will provide the best service to our partner brands by performing these tasks:

• Design, build, and optimize ETL/ELT pipelines.
• Develop and maintain dbt models for data transformation.
• Create and manage Airflow/Composer DAGs for orchestration.
• Architect and implement scalable Snowflake solutions.
• Develop dimensional models and data marts.
• Implement FDW connections for cross-database queries.
• Integrate data from multiple source systems.
• Deploy and manage data infrastructure on GCP.
• Enhance pipeline performance, reliability, and cost-efficiency.
• Implement and monitor data quality checks and SLAs.
• Maintain documentation, data dictionaries, and process guides.
• Conduct code reviews and collaborate cross-functionally.

Who are we looking for?

• Bachelor’s degree in Computer Science, IT, or related field.
• 3–7 years of professional experience as a Data Engineer.
• Proven experience building and maintaining scalable data pipelines.
• Hands-on experience with data warehouse architecture and implementation.
• Strong experience with dbt for data transformation and modeling.
• Expertise in Snowflake and Google Cloud Platform (GCP).
• Advanced SQL skills (complex queries, optimization, indexing, window functions).
• Proficiency in PostgreSQL and federated queries (postgres_fdw).
• Strong Python skills (Pandas, NumPy, SQLAlchemy) and Bash scripting.
• Experience with REST API integration and Git version control.
• Familiarity with CI/CD for data pipelines.
• Knowledge of ETL/ELT design, CDC, and handling structured/semi-structured data.
• Experience with orchestration tools (Airflow, Cloud Composer).
• Understanding of data governance, quality frameworks, and security standards.
• Certifications (Snowflake SnowPro, GCP Data Engineer, dbt Analytics) are a plus.