This role focuses on designing, developing, and maintaining robust data solutions essential for data generation, collection, and processing. You'll be instrumental in constructing data pipelines, upholding data quality standards, and implementing ETL processes for seamless data migration and deployment across systems.

As a Data Engineer, you will contribute to building and refining the infrastructure that supports our data-driven initiatives. This involves a deep understanding of data flow and transformation, ensuring that data is accurate, accessible, and reliable for various business needs.

Key responsibilities include independently performing tasks and becoming a subject matter expert, actively participating in team discussions, and contributing to problem-solving.

You will collaborate with cross-functional teams to gather data requirements and deliver effective solutions, continuously monitor and optimize data workflows for enhanced performance, and meticulously document data processes.

Additionally, you'll support junior team members by sharing technical knowledge and assisting with challenges, ensuring smooth operations and continuous improvement.

A strong proficiency in Reltio is mandatory, along with proven experience in designing and implementing data pipelines and ETL processes.

Candidates should possess a solid understanding of data integration and migration techniques, with the ability to ensure data quality and consistency across multiple systems.

Familiarity with data storage solutions and processing frameworks, as well as the capability to efficiently troubleshoot and resolve data-related issues, are essential for this role. A minimum of 3 years of experience is required.