Data Engineer
2 weeks ago
A leading consumer-focused company is seeking a
Data Engineer
for a hands-on role that combines ownership over modern data infrastructure with involvement in full-stack application development.
This role focuses on building and maintaining scalable data platforms in AWS, while also working closely with application and product teams to connect data pipelines with backend and product-facing systems.
Hybrid work model - 2 days from home
Responsibilities:
- Design, build, and maintain
end-to-end data pipelines
in AWS - Work with
Amazon S3 as the central Data Lake - Query, analyze, and optimize data using
Amazon Athena - Develop ETL / ELT processes and data automations using
Python - Ensure data quality, schema consistency, and reliability across the data lifecycle
- Integrate data from internal and external systems
- Collaborate with engineering, product, and analytics teams to support data-driven solutions
Full-Stack & Application Responsibilities
- Participate in development of
backend services and APIs
that consume and expose data - Contribute to
application-level features
where data meets the product - Work in close collaboration with frontend and backend engineers
- Support scalable, cloud-native services as part of a broader engineering team
Requirements:
- 3+ years of experience in Data Engineering or Backend Engineering with a strong data focus
- Mandatory experience with Python
- Mandatory hands-on experience with AWS
- Mandatory experience with Amazon S3 and/or Athena
- Strong understanding of data pipelines, ETL / ELT processes, and cloud-based data architectures
- Experience working with relational and/or NoSQL databases
- Strong ownership mindset and ability to work independently in a cross-functional environment
Advantage:
- Experience in
Full-Stack or Backend development - Familiarity with
and REST APIs - Exposure to frontend technologies (e.g., React)
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