For one of our clients, we are looking for skilled Data Engineers to design, build, and maintain scalable data pipelines and data platforms. The role involves close collaboration with BI, analytics, and business teams to deliver reliable, high-quality, and performance-optimized data solutions across cloud environments.

Key Responsibilities :

- Design, develop, and maintain end-to-end ETL/ELT data pipelines

- Integrate data from multiple internal and external sources

- Build and manage data warehouses and data lakes

- Work closely with BI and analytics teams to provide clean, structured, and trusted datasets

- Optimize data pipelines for performance, scalability, and reliability

- Implement data quality checks, validation, and monitoring processes

- Troubleshoot and resolve data pipeline, integration, and performance issues

Required Skills & Experience :

- 4 - 7 years of hands-on experience in Data Engineering

- Strong proficiency in SQL, data modelling, and data warehousing concepts

- Solid experience in ETL/ELT pipeline development

- Hands-on programming experience with Python, Scala, or similar languages

- Experience with cloud data platforms (Azure / AWS / GCP)

- Good understanding of data quality, performance optimization, and tuning

Nice to Have :

- Experience with data orchestration tools (Airflow, Azure Data Factory, etc.)

- Exposure to large-scale or enterprise data environments