Join our team as a Data Engineer and play a crucial role in building and maintaining robust data pipelines and platforms. This position is ideal for someone passionate about enabling advanced analytics, reporting, and AI/ML initiatives.

You will tackle moderately complex data engineering challenges independently, collaborating closely with business and technology partners to deliver reliable data solutions. As a technical resource, you'll guide team members on best practices and contribute to the ongoing enhancement of our data platforms and engineering processes.

Key responsibilities include designing, developing, and maintaining scalable data ingestion, transformation, and integration pipelines. You will build and optimize ETL/ELT workflows, translating business requirements into effective technical data solutions.

Responsibilities also involve identifying and resolving complex engineering problems, developing data models, and ensuring data quality and governance. Collaboration with cross-functional teams to deliver trusted data assets, monitoring pipeline performance, and supporting cloud-based data platforms are essential. You'll also implement data governance and security standards, create technical documentation, and participate in code reviews.

A Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field is required, along with 3+ years of experience in data engineering or software development.

Proficiency in SQL and Python for data processing, along with experience in ETL/ELT pipelines and large-scale datasets, is essential. Knowledge of data warehouses, data lakes, modern data architectures, and cloud platforms like Azure, AWS, or Google Cloud is necessary. Strong analytical, problem-solving, and communication skills are also crucial for this role.