We are looking for an experienced Senior Data Engineer to join our growing data team to design, develop, and maintain scalable data pipelines and systems to support analytics and business intelligence solutions.
Requirements
- Design, develop, and optimize data pipelines to extract, transform, and load (ETL/ELT) data from a variety of sources.
- Build and manage data models and data warehouses that support business intelligence, reporting, and analytics needs.
- Leverage cloud technologies such as AWS, Azure, or Google Cloud Platform for building scalable, reliable, and efficient data solutions.
- Develop and maintain automated data workflows using tools like Airflow, AWS Glue, Azure Data Factory, or similar technologies.
- Work with large datasets and complex data structures, ensuring data quality, integrity, and performance.
- Write and optimize SQL queries for complex data extraction, aggregation, and transformation tasks.
- Integrate APIs to connect data sources, extract information, and facilitate real-time data processing.
- Collaborate with business intelligence and data science teams to define data requirements and ensure the availability of clean, accurate data for analysis and decision-making.
- Implement CI/CD pipelines for automated deployment of data pipelines and models.
- Monitor the performance of data systems, ensuring reliability, availability, and scalability of data architectures.
- Create and maintain comprehensive documentation for data pipelines, systems, and processes.
- Stay up to date with emerging trends and technologies in the data engineering field and continuously improve data systems.
Benefits
- Opportunity to work on cutting-edge data engineering projects with the latest cloud technologies.
- Be part of an innovative and collaborative team driving data-driven decision-making.
- Competitive salary and comprehensive benefits package.
- Opportunities for career growth and professional development.
- Work in an agile environment, where your contributions make a direct impact on the business.