Data Engineer

Job not on LinkedIn

🔥 3 minutes ago

🇵🇪 Peru – Remote

⏰ Full Time

🟢 Junior

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Livefront

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2001

💼 Consulting

🤖 Artificial Intelligence

🤝 B2B

💰 Private equity on 2023-10

Consulting • Artificial Intelligence • B2B

Livefront is a digital product and engineering consultancy that builds AI-first products, platforms, and intelligent agents for enterprise clients. The firm combines strategy, product design, AI & automation, digital engineering, and data & analytics in a co-creative model (called MESH) to accelerate digital transformation and ship customer-facing software from discovery through scale. Livefront highlights work across healthcare, retail, automotive, and large enterprises—delivering AI companions, revenue-optimization agents, conversational/LLM integrations, platform engineering, and modern data pipelines to improve product outcomes and operational efficiency. The company positions itself as a partner-first, B2B services provider focused on measurable business impact.

📋 Description

• Gather and understand requirements for data migration and transformation • Design, build, and maintain performant, resilient, and maintainable data pipelines • Collaborate with stakeholders to ensure designs and implementations meet requirements and project standards • Implement required data architectures and designs using appropriate tools • Guide pipelines through testing, version control, CI/CD, review, and production deployment • Monitor pipelines to ensure requirements and expectations are met • Troubleshoot and remediate pipelines to maintain stability and effectiveness • Document and transfer knowledge within the project team • Maintain awareness of business, technical, and broader project requirements • Participate actively in project meetings and discussions • Provide input and feedback to architecture teams • Ensure data quality, integrity, and availability across upstream and downstream systems • Contribute to data governance and data-management best practices

🎯 Requirements

• Strong SQL skills, including understanding of performance and parallelism • At least one year of material experience on a traditional OLTP database such as Oracle, SQL Server, or Postgres • At least one year of material experience on a modern MPP data platform such as Databricks, Snowflake, Azure Synapse, Redshift, or BigQuery • Familiarity with cloud platforms, including basics of storage and security • Material experience with at least one data transformation tool, such as Fivetran, Informatica, DataStage, dbt, or native cloud/data-platform tools • Basic understanding of Medallion data architectures • Basic skills with orchestration tools such as Airflow, source code control such as git, and CI/CD • Effective writing and communication skills • Ability to use AI tools to improve productivity • Solid foundation in data engineering and keen interest in consulting