Devsinc is seeking a talented Data Engineer to join our growing data team. In this role, you will design and build scalable data pipelines, work with modern cloud platforms, and lay the foundation for analytics that drive critical business decisions.
Requirements
- Design, develop, and maintain automated ETL/ELT data pipelines for structured and unstructured datasets.
- Build and optimize scalable, secure, and cost-efficient cloud data solutions using AWS, Azure, or GCP.
- Model, cleanse, and transform data to support analytics, dashboards, and reporting use-cases.
- Implement automated testing, monitoring, and alerting to ensure high data quality and reliability.
- Develop high-performance Python-based services and utilities for data ingestion and processing.
- Work with APIs, event-driven systems, and streaming platforms for real-time data workflows.
- Collaborate with cross-functional teams (Data Science, Backend, DevOps, Product) to gather requirements and deliver tailored data solutions.
- Follow strong software engineering best practices β clean code, modularity, version control, CI/CD.
- Document architecture, data flows, schemas, and development standards.
- Stay updated on evolving data engineering tools, frameworks, and cloud-native technologies.
Benefits
- Paid time off
- 401k matching
- Retirement plan
- Visa sponsorship (for international candidates)
- Relocation assistance (not specified)