Join our team as a Data Engineer and play a pivotal role in shaping our data landscape. You'll be instrumental in designing, developing, and maintaining robust data solutions, ensuring efficient data generation, collection, and processing. This is an opportunity to build impactful data pipelines and contribute to seamless data migration and deployment across diverse systems.

As a Data Engineer, you will be expected to become a subject matter expert and perform independently. Your role involves active participation and contribution in team discussions, providing solutions to complex work-related challenges. You'll collaborate with cross-functional teams to define data requirements and deliver scalable solutions, while also monitoring and optimizing data workflows for enhanced performance and reliability. Documenting data processes and maintaining clear communication regarding data architecture and pipeline status are key, alongside assisting junior team members through knowledge sharing and guidance on best practices.

This role demands a strong foundation in data engineering principles, with a mandatory proficiency in PySpark. Candidates should possess experience in building and managing scalable data pipelines and workflows, coupled with a solid understanding of data processing frameworks and distributed computing. The ability to troubleshoot and optimize complex data processing tasks is essential. Familiarity with various data storage solutions and data integration techniques, along with knowledge of performance tuning and resource management in big data environments, is highly valued. A minimum of 3 years of experience is required.