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**About Empresa confidencial**
Empresa confidencial is the most transparent IT talent network, connecting highly skilled individuals with top integral companies and Silicon Valley startups for remote, on-demand projects.
We focus on building a trusted, high-performance network where talent can thrive in a positive, respectful, and supportive environment.
By prioritizing transparency, fair opportunities, and professional growth, we empower our engineers to deliver their best work while collaborating with innovative teams worldwide.
**We’re Most Proud Of**
- Offering life-changing opportunities for talented software professionals across the Americas.
- Enhancing highly-skilled software development teams of hundreds of the world’s greatest companies.
- Our 4.2-star rating on Glass
Door.
- Our client Net Promoter Score of 68, twice the industry average.
**The Opportunity**
Join our talent network and connect with U.S. clients for versátil, project-based development work as a Data
Ops Engineer.
- You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.
**What We're Looking For**
- 5+ years of professional experience in Data Engineering, Platform Engineering, or Dev
Ops.
- Advanced English is required.
- Successful completion of a four-year college degree is required.
- Hands-on experience administering Databricks in AWS environments.
- Strong experience with Terraform and Infrastructure as Code at scale.
- Deep familiarity with Git
Hub Actions or comparable CI/CD tooling.
- Experience building reusable CI/CD frameworks (not just individual pipelines).
- Strong proficiency in Python and SQL.
- Deep understanding of distributed data processing and the Spark execution model.
- Experience supporting DBT workflows and analytics engineering teams.
- Strong understanding of SDLC best practices and multi-environment promotion strategies.
- Experience designing enterprise-scale data platforms.
- Knowledge of IAM best
Postúlate en Kit Empleo: kitempleo.pe/empleo/vm3gl
📌 DataOps Engineer (Iquitos) (Perú)
🏢 Importante empresa del sector
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