Seeking a skilled Data Engineer to design, build, and maintain robust data pipelines and platforms. This role is pivotal in enabling advanced analytics, reporting, and AI/ML initiatives. You will tackle moderately complex data engineering challenges independently and collaborate with stakeholders to deliver effective data solutions.

As a technical resource, you will guide team members on best practices and contribute to enhancing our data platforms and engineering processes. This position requires a proactive approach to problem-solving and a commitment to continuous improvement within the data ecosystem.

Key responsibilities include developing scalable data ingestion, transformation, and integration pipelines. You will construct and optimize ETL/ELT workflows for diverse data sources, translating business needs into technical data solutions. Identifying and resolving intricate engineering problems, alongside developing data models and quality frameworks, are crucial aspects.

Collaboration with data analysts, scientists, and product teams to ensure data trustworthiness is essential. You will also focus on monitoring and optimizing pipeline performance, reliability, and cost-efficiency. Implementing data governance, security, and compliance standards, along with creating technical documentation, will be part of your duties. Participating in code reviews and troubleshooting production issues to implement sustainable fixes are also expected.

A Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related engineering field is required. Candidates should possess 3+ years of experience in data engineering, software engineering, or big data development. Proficiency in SQL and Python for data processing is essential.

Experience with data warehouses, data lakes, and modern data architectures is necessary. Familiarity with cloud-based data platforms like Azure, AWS, or Google Cloud, along with a solid understanding of data modeling, quality, and governance principles, is expected. Strong analytical, problem-solving, and communication skills, coupled with the ability to work independently, are vital for this role.