Junior Data Engineer

As a Junior Data Engineer at Capgemini Engineering, you will play a crucial role in the development and maintenance of scalable data pipelines and infrastructure. Your main focus will involve integrating and optimizing data workflows using Cognite Data Fusion and Python to ensure seamless data accessibility and analysis throughout the organization. Your responsibilities will include designing, implementing, and optimizing end-to-end data pipelines for processing large volumes of structured and unstructured data. You will utilize Cognite Data Fusion to automate the contextualization of various data sources, ensuring efficient integration and accessibility. Additionally, you will develop robust ETL processes and data workflows using Python, collaborate with cross-functional teams to understand data requirements, and implement data quality assurance measures to maintain accuracy and reliability. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, and demonstrate proficiency in Python programming. Knowledge of data integration platforms, data modeling, database design, and SQL is essential. Experience with cloud platforms like AWS or Azure, along with problem-solving skills, attention to detail, and excellent communication abilities, will be beneficial. Preferred qualifications include experience with data pipeline and workflow management tools, knowledge of big data technologies, and familiarity with data visualization tools like Grafana. Join us at Capgemini Engineering and be part of a dynamic team dedicated to leveraging data-driven insights to drive business strategies.,