Actively hiring· Posted 1 month ago

Senior Data Engineer (DBT + AWS)

Full TimeHybridData Science/ML
Salary
Not disclosed
Experience
4–6.5 yrs
Work mode
Hybrid

The role

About the role

1 min read

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.

Quantiphi