Join our team as a Data Engineer to help design and develop robust data platforms that power analytics, reporting, and data-driven decision-making.
Requirements
- Design and develop scalable, reliable data platforms and pipelines for analytics and operations
- Implement data processing workflows using distributed frameworks (Apache Spark/pySpark, Databricks)
- Evolve the organization’s cloud data platform leveraging Azure technologies (Data Factory, Synapse, Event Hub, Azure Data Lake Storage)
- Model data to support analytics, reporting, and downstream consumption
- Integrate and process data from multiple sources ensuring quality and consistency
- Monitor and optimize pipeline performance, ensuring reliability and scalability
- Collaborate with analysts, scientists, and engineers to translate requirements into solutions
- Improve data engineering standards, testing, and operational reliability
- Evaluate and introduce new tools and technologies in the data engineering ecosystem
Benefits