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DATAHEAD is seeking a highly skilled Data Scientist to join our team in London. As a Data Scientist, you will play a key role in designing and implementing scalable data pipelines, ensuring data quality and integrity, and collaborating with cross-functional teams to develop end-to-end data solutions.
Key Responsibilities- Design and implement scalable data pipelines for processing large datasets.
- Develop, deploy, and maintain ETL processes to ensure data quality and integrity.
- Work with cloud platforms, particularly AWS, to manage data storage, processing, and deployment.
- Optimize databases for performance and scalability, ensuring data consistency across all systems.
- Collaborate with data scientists, UX teams, and stakeholders to develop end-to-end data solutions.
- Produce and maintain comprehensive documentation for data engineering processes, ensuring transparency and reproducibility.
- Research and implement new data engineering methodologies and technologies to improve efficiency and effectiveness.
- Strong proficiency in Python and SQL, with experience in libraries such as Pandas, NumPy, and SciPy.
- Experience with cloud platforms, particularly AWS or Google Cloud, and tools like Databricks.
- Solid understanding of data modeling, ETL processes, and database management.
- Familiarity with Big Data tools and probabilistic programming libraries is a plus.
- Challenging projects involving cutting-edge data technologies.
- Continuous learning and development in advanced data engineering and cloud-native technologies.
