Join our team as a Data Engineer and take the lead in designing, developing, and maintaining robust data solutions. You will be instrumental in driving data generation, collection, and processing initiatives, ensuring seamless data flow across systems.

This role involves creating efficient data pipelines and upholding stringent data quality standards. You will implement ETL processes to manage data migration and deployment, supporting organizational needs with reliable and accessible data. Proactive collaboration with cross-functional teams to align data strategies and resolve complex data challenges is integral to success.

As a Data Engineer, you will be expected to act as a subject matter expert and perform independently. Active participation in team discussions and contributing innovative solutions to work-related problems are key.

You will collaborate with diverse teams to understand data requirements and deliver scalable data solutions. Monitoring and optimizing data workflows for enhanced performance and reliability, along with documenting processes and maintaining clear communication, are essential duties. You will also mentor junior team members, sharing knowledge and assisting with technical hurdles.

This role requires a minimum of 3 years of hands-on experience with R-Studio, demonstrating proficiency in designing and implementing data pipelines and ETL processes. Candidates should possess a strong ability to ensure data quality through validation and cleansing techniques.

A solid understanding of data storage solutions, data migration strategies, and troubleshooting data processing issues is necessary. Familiarity with data architecture and integration concepts is also important. A qualification of 15 years of full-time education is a prerequisite for this position.