Senior Data Engineer – Marketing Operations
About the role
Job Summary
We are seeking a Senior Data Engineer with 6-8 years of IT experience to build and optimize data transformation pipelines for Marketing Operations. The ideal candidate will have strong expertise in dbt, Python, SQL, and Snowflake , along with experience developing scalable ETL pipelines and collaborating with client and offshore teams.
Key Responsibilities
- Develop and maintain data transformation pipelines using dbt , Python , and Snowflake .
- Design and optimize ETL workflows, API integrations, and data models.
- Build and manage complex dbt projects, including CI/CD pipelines and job scheduling.
- Write and optimize advanced SQL for data transformation and analytics.
- Collaborate with client stakeholders and offshore teams to deliver high-quality data solutions.
- Delegate tasks, track delivery progress, and ensure timely project execution.
- Support data warehousing initiatives and optimize data platform performance.
Required Skills & Experience
- 6-8 years of IT experience with 4-5 years in Data Engineering.
- Strong expertise in: dbt
- SQL (Expert Level)
- Python
- Snowflake
Experience with CI/CD , job schedulers, and data pipeline automation.
Strong understanding of ETL development, API integrations, and data warehousing concepts.
Knowledge of Snowflake architecture is preferred.
Excellent communication, stakeholder management, and collaboration skills.
Experience working with distributed/offshore teams is highly desirable.
This engagement is managed end-to-end by Querentia. Our recruiters give you honest feedback at every stage, prepare you for the interview, and support a smooth onboarding once you land the offer.