In this role, you will partner with global customers and cross-functional teams to develop robust, reliable, and high-performing data ecosystems that power analytics, reporting, and business-critical decision-making.

Key Responsibilities
- Design, develop, and maintain scalable, end-to-end data pipelines for structured and unstructured data.
- Build and optimize robust ETL/ELT workflows to support reliable and efficient data integration.
- Design and implement scalable data warehouse solutions and dimensional data models.
- Develop cloud-native data architectures aligned with performance, scalability, and security best practices.
- Integrate data from multiple internal and external sources while ensuring data quality, consistency, and governance.
- Monitor, troubleshoot,



and optimize data pipelines to improve reliability and operational efficiency.
- Collaborate with data analysts, software engineers, architects, and business stakeholders to deliver high-quality data solutions.
- Participate in architecture reviews and contribute to technical design decisions and implementation strategies.
- Maintain documentation, coding standards, and best practices across the data engineering lifecycle.
- Work effectively in a remote, collaborative setting with international customers across multiple time zones.

Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida)

📌 Data Engineers (Noida)
🏢 Digixito Media
📍 Noida