Join our dynamic team as a Data Engineer, focusing on creating and maintaining robust data pipelines and platforms. This role is crucial for enabling advanced analytics, reporting, and AI/ML initiatives. You'll tackle moderately complex data engineering challenges independently, collaborating closely with business and technology stakeholders to deliver reliable data solutions that meet enterprise-wide needs.

As a key technical resource, you will guide team members on best practices and drive continuous improvements in our data platforms and engineering processes. This position offers an excellent opportunity to make a significant impact in a growing field.

Key responsibilities include designing, developing, and maintaining scalable data ingestion, transformation, and integration pipelines. You will build and optimize ETL/ELT workflows, analyze requirements to develop technical data solutions, and resolve complex engineering problems. Developing data models, quality frameworks, and validation processes is essential. Collaboration with cross-functional teams to deliver trusted data assets, alongside monitoring and optimizing pipeline performance, is expected.

Additional duties involve supporting cloud-based data platforms, implementing data governance and security standards, and creating comprehensive technical documentation. You will also participate in code reviews, troubleshoot production issues, and contribute to automation and CI/CD initiatives. Adherence to company policies and employment terms is mandatory.

We are seeking candidates with a Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field, and a minimum of 3 years of experience in data engineering or big data development. Proficiency in SQL and Python for data processing is required.

Experience with ETL/ELT pipelines, large-scale datasets, data warehouses, and data lakes is essential. Familiarity with cloud data platforms like Azure, AWS, or Google Cloud, along with an understanding of data modeling, quality, and governance principles, is expected. Strong analytical skills, problem-solving abilities, and excellent communication are vital. The ability to work independently and manage multiple priorities is a must.