As a Junior Data Engineer, you will support the design, development, and maintenance of data systems that enable efficient data collection, processing, storage, and analysis. You will work with structured and unstructured data from multiple sources, helping to build reliable data pipelines and ensure data quality across various business functions. This role offers the opportunity to collaborate with analysts, developers, and business stakeholders to deliver scalable data solutions that support data-driven decision-making.
Key responsibilities include assisting in the development and optimization of ETL/ELT processes, monitoring data workflows, validating data accuracy, and maintaining databases and data warehouses. You will help automate data integration tasks, troubleshoot data-related issues, and contribute to improving data architecture and performance. The position requires strong technical aptitude, problem-solving abilities, and a willingness to learn modern data engineering tools and best practices.
Qualifications
* Strong interest in data engineering, data infrastructure, and analytics technologies.
* Understanding of databases, data modeling, and data management concepts.
* Familiarity with SQL and the ability to query, manipulate, and analyze data effectively.
* Basic knowledge of programming languages such as Python, Java, or similar technologies.
* Understanding of ETL/ELT processes, data pipelines, and workflow automation concepts.
* Knowledge of cloud data platforms, data warehouses, or big data technologies is an advantage.
* Strong analytical thinking and problem-solving skills with attention to detail.
* Ability to identify data quality issues and implement appropriate solutions.
* Good communication skills and the ability to work effectively within cross-functional teams.
* Strong organizational and time-management abilities.
* Eagerness to learn new technologies and adapt to evolving technical environments.
* Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics, or a related field is preferred.
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