Domo Data Engineer

Responsibilities

• Lead end-to-end ETL processes for data ingestion and transformation across Snowflake and DOMO ETL systems

• Design and implement robust, scalable data pipelines and workflows

• Create and maintain data marts, data lakes, and data warehouses

• Work with large digital datasets from platforms like Google, Meta, and Amazon

• Develop and maintain clear documentation and process maps for all data outputs

• Collaborate with cross-functional teams and act as a trusted advisor for data solutions

• Proactively identify opportunities to improve data architecture and workflows

• Manage resources across cloud ecosystems (AWS, Azure, GCP)

Requirements

• 5+ years of experience in ETL development and data engineering best practices

• Strong hands-on experience with Domo

• Proven experience working with digital media datasets and platforms

• Proficiency in SQL and Python for data manipulation and automation

• Solid understanding of data modeling and architecture

• Experience with cloud infrastructure and resource management (AWS, Azure, GCP)

• Excellent attention to detail and commitment to documentation quality

• Strong communication skills and ability to work independently as well as part of a team

Offer

• Workplace: 100% remote

• B2B contract via Experis

• MultiSport Plus

• Group insurance

• Medicover Premium

• E-learning platform