Join our team as a Data Engineer, focusing on the design, development, and maintenance of robust data solutions. You will be instrumental in creating efficient data pipelines for generation, collection, and processing. A key aspect of this role involves ensuring data quality and implementing ETL processes for seamless data migration across systems, directly supporting organizational data infrastructure and analytics needs.

Take ownership of tasks and grow into a Subject Matter Expert (SME). Actively contribute to team discussions and collaborate to resolve work-related challenges. Partner with cross-functional teams to grasp data requirements and engineer scalable solutions. Monitor and refine data workflows for optimal performance and dependability. Maintain clear documentation of data processes and ensure effective communication with stakeholders. Provide guidance and share knowledge with junior team members.

Proficiency in PySpark is essential for this role. Experience in constructing and managing scalable data pipelines and workflows is required. A strong understanding of data processing frameworks and distributed computing is necessary. Candidates should possess the ability to efficiently troubleshoot and resolve data-related issues. Familiarity with data storage solutions and integration techniques is expected. A solid grasp of data quality assurance and validation methods is also important. Minimum of 3 years of experience is mandatory.