Data Engineer

About this position

We are looking for a talented and motivated Data Engineer to join our team and play a key role in building and optimizing our data infrastructure and workflows. In this role, you will be responsible for creating and maintaining robust data pipelines that support analytics, machine learning, and decision-making across the organization. Your expertise will be critical in ensuring data is collected, processed, and stored efficiently and securely, enabling teams to access the insights they need in real-time. As a Data Engineer, you will work closely with data scientists, analysts, and software engineers to understand data requirements, improve system performance, and develop scalable solutions that align with business goals. You will also take an active role in driving innovation and adopting the latest technologies to keep our systems ahead of industry standards.

Tasks & Responsibilities

Develop and maintain data pipelines for ETL processes. Design and implement scalable and efficient database architectures. Ensure the integrity, accuracy, and security of data systems. Collaborate with cross-functional teams to understand data needs. Optimize query performance and manage data storage solutions.

Requirements & Benefits

Strong experience with SQL, Python, and ETL frameworks. Proficiency in cloud platforms like AWS, Azure, or GCP. Familiarity with data modeling and big data tools (e.g., Hadoop, Spark). Excellent problem-solving skills and attention to detail. Bachelor's degree in Computer Science, Data Engineering, or related field.