Sr Data Ops Engineer

Role Description

This is a high-impact technical role. We are looking for a motivated and adaptive DataOps Engineer, Technical Referent to join our fast-paced environment. You will operate at the intersection of data engineering, cloud infrastructure, and DevOps, where a high tolerance for ambiguity and a passion for constant learning are essential. Your primary mission involves:

• Interacting with customers to understand their needs and extract requirements.
• Designing and proposing scalable solutions.
• Tackling the challenge of working within a team to develop solutions.
• Executing hands-on technical work to ensure robust data operations.

Qualifications

• Strong proficiency in Python and bash.
• Fluency in SQL as a second language.
• Deep familiarity with databases, data warehouses, and data lakes.
• Adept at data pipelines and process improvement.
• Strong knowledge of AWS environments, including EC2, Lambda, IAM, SQS, RDS, Kinesis, Glue, and EKS.
• Familiarity with modern development tools like Terraform, GitHub, Docker, and dbt.
• Ability to thrive in an environment with constant and quick iterations.
• Strong attention to detail.
• Ability to work collaboratively while also owning a project with little guidance.
• Comfortable working in a diverse environment and non-hierarchical organizations.
• Ability to interact directly with customers to understand needs and propose technical solutions.

Requirements

• AWS associate or professional-level certifications, such as Solutions Architect, Developer, or DevOps Engineer (Nice to Have).

Benefits

• High-impact, strategic role driving modern data infrastructure and automation.
• Collaborative international environment with senior technical leadership.
• High autonomy to design, propose, and implement cutting-edge DataOps solutions.
• Long-term engagement with competitive compensation and growth opportunities.