As a Big Data Engineer, you'll play a crucial role in building and maintaining data pipelines that support advanced analytics and machine learning. This position is ideal for someone who enjoys working with large datasets and is passionate about data-driven solutions.
In this role as a Big Data Engineer, you will be responsible for designing and developing scalable data pipelines that handle both structured and unstructured data. Your work will support the delivery of advanced analytics and machine learning solutions, which are essential for the company's commercial objectives. You will collaborate with various teams to ensure that the data platforms you build are reliable and high-performing.
Your day-to-day tasks will involve creating batch and streaming data pipelines that process data from multiple sources, including telecommunications networks and CRM systems. You will also be tasked with maintaining these pipelines to ensure they operate efficiently and effectively. This role is perfect for someone who enjoys problem-solving and has a strong understanding of big data technologies.
Key responsibilities include: • Designing and developing high-volume data ingestion and transformation pipelines • Maintaining and optimizing data processing workflows • Collaborating with data scientists and analysts to support their data needs
To succeed in this role, you should have a solid background in big data technologies and experience with data ingestion and transformation processes. Familiarity with machine learning concepts and telecommunications data will be beneficial. If you are passionate about data and enjoy working in a fast-paced environment, this position could be a great fit for you.
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