Description :

We are looking for an experienced Senior Data Engineer to design, build, and scale a cloud-based data platform on AWS.

This is a hands-on role focused on developing robust data pipelines, scalable data models, and high-performance processing frameworks that support analytics, reporting, and machine learning use cases.

You will work on complex data challenges such as large-scale ingestion, data standardization, deduplication, and integration across multiple operational systems.

Key Responsibilities :

- Design and build scalable, reliable data pipelines and services on AWS.

- Develop and maintain Python-based data processing frameworks and transformation workflows using DBT.

- Build and manage ingestion pipelines integrating diverse data sources such as APIs and customer data feeds.

- Design and implement efficient relational data models to support analytics and operational workloads, including optimized schema design in AWS RDS MySQL.

- Implement data standardization, deduplication, validation, and quality assurance processes.

- Optimize SQL queries and ETL workloads for high performance and scalability.

- Build observable pipelines with logging, monitoring, and alerting to ensure resilience and maintainability.

Required Skills & Qualifications :

- 8- 10 years of experience in data engineering or a related field

- Strong proficiency in Python for data engineering use cases

- Hands-on experience with AWS RDS MySQL

- Experience with DBT for data transformation and modeling

- Strong understanding of relational database design and data modeling

- Experience with AWS services such as S3, DMS, Lambda, CloudWatch

- Familiarity with Git-based development workflows

- Ability to design scalable, maintainable, and efficient data solutions