About the job
Devsinc is on the lookout for a skilled Data Engineer with at least 2 years of professional experience to become a vital part of our expanding data team. In this exciting role, you will architect and create scalable data pipelines, engage with advanced cloud platforms, and establish the groundwork for analytics that inform key business decisions. From your first day, you’ll receive mentorship from senior engineers, work with a cutting-edge cloud stack, and witness the significant impact of your contributions.
Key Responsibilities:
- Design, develop, and sustain automated ETL/ELT data pipelines for both structured and unstructured datasets.
- Create and refine scalable, secure, and cost-effective cloud data solutions using AWS, Azure, or GCP.
- Model, clean, and transform data to facilitate analytics, dashboards, and reporting use cases.
- Implement automated testing, monitoring, and alerting to guarantee high data quality and reliability.
- Develop high-performance Python-based services and utilities for data ingestion and processing.
- Engage with APIs, event-driven systems, and streaming platforms to support real-time data workflows.
- Collaborate with cross-functional teams (Data Science, Backend, DevOps, Product) to gather requirements and deliver custom data solutions.
- Adhere to strong software engineering best practices — including clean code, modularity, version control, and CI/CD.
- Document architecture, data flows, schemas, and development standards.
- Keep abreast of the latest data engineering tools, frameworks, and cloud-native technologies.

