UNLEASH YOUR POTENTIAL WITH US: We promote a flexible and positive work environment, allowing you the autonomy to build exceptional software solutions for our clients while contributing to a team of industry\-leading innovators. If you are passionate about data engineering and ready to make a significant impact, we want to hear from you! YOUR ROLE: We are looking for a skilled Data Engineer to join our team. In this role, you will be responsible for designing, implementing, and maintaining robust data pipelines and architectures. You will collaborate with cross\-functional teams to ensure that our data is accurate, accessible, and actionable, helping our clients leverage their data for better decision\-making. KEY RESPONSIBILITIES: * Design, develop, and maintain data pipeline architectures. * Optimize data ingestion, storage, and processing workflows. * Collaborate with data scientists and analysts to understand data needs and convert requirements into technical specifications. * Ensure data quality and integrity throughout the data lifecycle. * Implement data security and compliance measures. * Monitor and troubleshoot data systems performance issues. * Stay up\-to\-date with industry trends, technologies, and best practices in data engineering. **Requirements** **Requirements** * 5\+ years of experience in **Data Engineering** or a similar role. * Strong knowledge of **ETL tools** and **databases** (SQL and NoSQL). * Proficiency in programming languages such as **Python and/or Java**. * Experience working with **cloud platforms** such as **AWS, Azure, or Google Cloud**. * Proven ability to design and build **scalable data management systems**. * Strong focus on **data quality**, reliability, and continuous improvement. * Excellent **written and verbal communication** skills. ### **Nice to Have** * Experience with **microservices architectures** and **containerization tools** (Docker, Kubernetes). * Knowledge of **data visualization tools** such as **Tableau or Power BI**. * Experience with **real\-time data processing technologies** (Apache Kafka, Apache Spark). .