Full TimeHybridData Science/ML
- Salary
- Not disclosed
- Experience
- 4–6.5 yrs
- Work mode
- Hybrid
The role
About the role
Quantiphi is hiring a Senior Data Engineer (DBT + AWS) to design, develop, and optimize scalable cloud-native data platforms on AWS.
Responsibilities
- Design and develop large-scale AWS-based data engineering solutions.
- Build high-performance batch and analytical data pipelines using DBT.
- Work with AWS services to ensure reliability, scalability, and operational excellence.
- Develop cloud-native data architectures and distributed data processing systems.
- Optimize SQL queries and data transformation workflows.
- Build and maintain data models for analytics and reporting.
- Collaborate with cross-functional teams to deliver data-driven solutions.
- Ensure data quality, governance, and performance across platforms.
- Implement best practices for cloud-based data engineering and automation.
- Support and enhance enterprise data infrastructure initiatives.
What you bring
Requirements
Must Have
- 4–7 years of experience in Data Engineering.
- 3+ years of hands-on experience building AWS Data Engineering solutions.
- Strong experience with DBT (Data Build Tool).
- Experience with AWS cloud services.
- Strong SQL skills and query optimization expertise.
- Experience with PySpark.
- Knowledge of Apache Iceberg.
- Experience designing scalable batch and streaming data pipelines.
- Understanding of distributed data processing and cloud-native architectures.
- Strong problem-solving and analytical skills.
Nice to Have
Experience with AWS Glue.Experience with Amazon Redshift.Knowledge of Python-based data engineering workflows.Experience building APIs and data services.Exposure to modern data lakehouse architectures.Experience working in enterprise-scale data platforms.



