As a Big Data Engineer, you'll design and maintain data pipelines that handle large volumes of data. This role is perfect for someone who enjoys working with both structured and unstructured data to support analytics and insights.
In this role as a Big Data Engineer, you will be tasked with creating and managing scalable data pipelines that can handle both structured and unstructured data. Your work will be crucial in supporting advanced analytics and machine learning initiatives, helping the company achieve its commercial goals. You will be part of a team that values innovation and efficiency in data processing.
Your daily responsibilities will include designing, developing, and maintaining high-volume data ingestion and transformation pipelines. You will work with various data sources, including telecommunications networks and CRM systems, to ensure that data flows smoothly and is readily available for analysis. This role requires a strong understanding of big data technologies and the ability to develop both batch and streaming data pipelines.
The ideal candidate for this position is someone who is passionate about data and enjoys solving complex problems. You should have experience with big data technologies and a solid understanding of data processing techniques. If you thrive in a fast-paced environment and are eager to contribute to meaningful projects, this role could be a great fit for you.
Key requirements include proficiency in big data technologies, experience with data ingestion and transformation, and the ability to develop efficient data pipelines. A background in machine learning and advanced analytics would be beneficial but is not mandatory. This is a contract position, and you will have the opportunity to work on exciting projects that impact the company's data strategy.
You'll be taken to the original listing on PNet to apply.