As a Data Engineer, you will play a pivotal role in building and optimizing our data architecture and performing analytical tasks to drive informed business decisions. Your primary responsibility will be to develop, construct, test, and maintain data architectures, such as databases and large-scale processing systems, while ensuring high data quality and availability. You will collaborate with data analysts, scientists, and other stakeholders to design and implement robust data pipelines that effectively manage the flow of data across platforms. The ideal candidate will contribute to data modeling solutions, develop ETL processes, and facilitate real-time and batch processing of data. In this position, you will utilize your expertise in programming languages such as Python, Scala, or Java, and leverage big data technologies like Hadoop, Spark, and Kafka. Your role will also involve optimizing existing data systems, enhancing their performance, and ensuring they meet the evolving needs of the organization. You will perform data analysis and coding tasks regularly, ensuring timely delivery of impactful insights. Furthermore, you will implement data security measures and contribute to the design of data governance policies across the organization. As part of your responsibilities, you will be required to document all processes, maintain high standards of technical documentation, and engage in troubleshooting as necessary. You will be expected to keep abreast of the latest industry trends, tools, and technologies that can enhance our data engineering processes and accuracy. The successful candidate will possess strong analytical and problem-solving skills, be detail-oriented, and demonstrate the ability to work cohesively within a team while also being highly self-motivated. If you are passionate about data and eager to help shape the strategic direction of data utilization across the company, this opportunity is perfect for you. We are looking for someone who is not just skilled in technical abilities but also has a curiosity-driven approach to finding innovative solutions to complex data challenges, making a significant impact in our ongoing data-driven journey.