Junior Data Engineer

Role Overview: As a Data Engineer, your role involves designing, building, and maintaining the company's data infrastructure, which includes databases and data pipelines. You will be responsible for ensuring that data is easily accessible and usable for data scientists, analysts, and other stakeholders. Your main tasks will include developing and implementing systems for data collection, storage, processing, and analysis. Key Responsibilities: - Designing and building data pipelines: Creating efficient and scalable systems for extracting, transforming, and loading (ETL) data from various sources into data warehouses or other storage systems. - Developing and maintaining databases and data warehouses: Ensuring data is stored and organized effectively for analysis and reporting. - Ensuring data quality and reliability: Implementing measures to validate and cleanse data, ensuring its accuracy and consistency. - Collaborating with data scientists and analysts: Working closely with other teams to understand their data needs and provide them with the necessary tools and infrastructure. - Optimizing data storage and processing: Improving the performance and efficiency of data systems. - Developing data models and schemas: Designing structures that enable efficient data storage and retrieval. - Monitoring and maintaining data systems: Ensuring the smooth operation and availability of data infrastructure. - Staying up-to-date with new technologies: Continuously learning and adopting new tools and techniques in the field of data engineering. Qualifications Required: - Degree in Computer Science, Information Technology, or a related field. - Strong experience in designing and implementing data systems. - Proficiency in database management and data warehousing. - Excellent problem-solving skills and attention to detail. - Strong collaboration and communication skills. Role Overview: As a Data Engineer, your role involves designing, building, and maintaining the company's data infrastructure, which includes databases and data pipelines. You will be responsible for ensuring that data is easily accessible and usable for data scientists, analysts, and other stakeholders. Your main tasks will include developing and implementing systems for data collection, storage, processing, and analysis. Key Responsibilities: - Designing and building data pipelines: Creating efficient and scalable systems for extracting, transforming, and loading (ETL) data from various sources into data warehouses or other storage systems. - Developing and maintaining databases and data warehouses: Ensuring data is stored and organized effectively for analysis and reporting. - Ensuring data quality and reliability: Implementing measures to validate and cleanse data, ensuring its accuracy and consistency. - Collaborating with data scientists and analysts: Working closely with other teams to understand their data needs and provide them with the necessary tools and infrastructure. - Optimizing data storage and processing: Improving the performance and efficiency of data systems. - Developing data models and schemas: Designing structures that enable efficient data storage and retrieval. - Monitoring and maintaining data systems: Ensuring the smooth operation and availability of data infrastructure. - Staying up-to-date with new technologies: Continuously learning and adopting new tools and techniques in the field of data engineering. Qualifications Required: - Degree in Computer Science, Information Technology, or a related field. - Strong experience in designing and implementing data systems. - Proficiency in database management and data warehousing. - Excellent problem-solving skills and attention to detail. - Strong collaboration and communication skills.