As a Data Engineer, you will play a pivotal role in designing, developing, and maintaining robust data solutions. This includes creating efficient data pipelines for generation, collection, and processing. You will ensure the integrity and quality of data while implementing ETL processes for seamless data migration and deployment across various systems.

The role involves contributing to the development and refinement of the data platform blueprint and design, collaborating closely with Integration Architects and Data Architects. A proactive approach to aligning platform components with project requirements and fostering effective team communication is key to maintaining a scalable data environment.

- Drive independent performance and become a subject matter expert. - Actively participate and contribute to team discussions and problem-solving. - Provide solutions to complex work-related issues. - Collaborate with cross-functional teams to align data platform components with business objectives. - Assist in troubleshooting and resolving data platform issues to ensure system reliability. - Mentor and support junior team members by sharing knowledge and best practices.

- A minimum of 2-5 years of experience in Data Engineering is required. - Proficiency in Data Engineering is a must-have skill. - Experience in developing and managing data pipelines. - Strong understanding of data integration techniques and tools. - Familiarity with cloud-based data platforms and architectures. - Knowledge of data storage solutions and optimization strategies. - Ability to work with large-scale data processing frameworks. - A 15-year full-time education is mandatory, along with a Databricks Certification.