Implement data pipelines using Big Data technologies, ensuring that code is delivered on time and to a high standard of quality

Design and implement scalable and efficient data processing solutions

Contribute to the development and maintenance of data engineering best practices and standards

Collaborate with other engineers and stakeholders as required, contributing to the enhancement of user experiences and the improvement of data-driven decision-making processes

Review and ensure the quality control of data engineering deliverables to meet the highest standards

Provide assistance and support to other engineers during project discovery and ideation phases, contributing to innovative data solutions

Relevant experience is 3+ years in Data Software Engineering, with a focus on Big Data

Strong understanding of Big Data technologies, including Hadoop, Spark, and Hive

Proficiency in Python programming language, enabling you to write high-quality and efficient code

Experience working with Amazon Web Services and Databricks, allowing you to work with cloud-based Big Data solutions

Strong focus on teamwork and exceptional interpersonal skills, allowing you to collaborate effectively with cross-functional teams

Excellent communication skills in English, with a B2 level or higher, enabling you to effectively convey feedback and insights to cross-functional teams

Experience in Machine Learning or Data Science, showcasing your broader perspective on data and its applications

Knowledge of SQL and NoSQL databases, enabling you to work with a variety of data storage solutions