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Senior DevOps engineer who acts as the main client-facing contact, leading DevOps/DevSecOps adoption and automation: CI/CD with GitHub Enterprise and GitHub Actions, provisioning/monitoring on Azure and AWS, and applying generative AI (Copilot, LLMs, RAG, MCP) to the software development lifecycle. Based in Peru.
Inetum, a global IT services company, is hiring a Full Stack Developer in Peru to work on client IT projects in a hybrid model from client offices in San Isidro. Day-to-day work spans C#/.NET 6 backends, React/Angular frontends, SQL Server, REST APIs and microservices, with Azure DevOps pipelines and Azure services.
Data Engineer at Grupo Carsa, a leading Peruvian retail company, designing and maintaining data infrastructure: ETL/ELT pipelines that integrate POS, ERP, e-commerce and CRM sources, plus data warehouses and data lakes. Core stack is advanced SQL, Python/Scala, tools like Airflow/dbt/Talend/SSIS, and AWS/Azure/GCP; on-site in Surco (Lima).
Professional internship (practicante) in data engineering in Peru: building and scaling data ingestion and transformation pipelines on AWS using Glue, Step Functions, and Athena, plus data modeling and performance tuning, while translating internal clients' business needs into technical solutions.
Data Engineer for an SAP data-migration project: builds ETL pipelines and cleans, transforms, and validates large volumes of data. Works with Python, SQL relational databases, Power BI, Google Cloud (GCP) data architecture, and SAP R3/S4 table structures.
Data Engineer (Semi Senior) at METRICA, a multinational IT consultancy. Day to day: design, build, and maintain end-to-end ETL/ELT pipelines, cloud data warehouses/lakes, and dimensional models using SQL, Python (Pandas/Polars), dbt, and orchestration tools (Airflow, Prefect, Azure Data Factory) on Azure, AWS, or GCP.
Senior engineer building and maintaining high-availability Java/Spring Boot microservices for the TAPP financial interoperability/payments ecosystem of a major Peruvian financial institution, handling production support, async distributed architectures (Kafka), Docker/Kubernetes deployments, CI/CD pipelines, and observability tooling.
ZAT is hiring an Azure Data Engineer in Peru to translate data requirements into loading routines, and build and optimize ETL pipelines using Azure Data Factory, Databricks, and Spark (Python/Scala). Requires a bachelor's degree plus about 2 years each with Azure, Spark ETL development, and Oracle packages/stored procedures.
Data Engineer who owns the full data flow for client projects in telecom and digital media — extracting and ingesting data, building ETL/ELT pipelines, writing heavy SQL, and delivering optimized Power BI dashboards. Core stack: Power BI, SQL, BigQuery, and Google Cloud Platform.
Intermediate Mining Engineer at Stantec in Lima, Peru: plans and optimizes open-pit material extraction — daily/weekly/monthly plans, budgets, and life-of-mine strategy — and liaises between the Lima and Salt Lake City offices. Core tools: MineSight/MinePlan, Vulcan, Deswik, Carlson, Whittle.
Mid-level backend developer at Stefanini (Peru) fixing code vulnerabilities flagged by a client's security team, supporting QA, deploying Java apps to non-production environments, and documenting remediation evidence. Core stack: Java with Spring, Oracle DB, REST/SOAP APIs, Git, and Scrum.
Semi-senior backend developer at consulting firm EVOL, building enterprise Java/.NET applications and REST APIs (Spring Boot / ASP.NET Core) for a financial-sector project. Day to day includes integrating generative AI — LLM-based chatbots and virtual assistants via Azure OpenAI, LangChain4j and Semantic Kernel — with hybrid work in Lima.
Designs, builds, and maintains data infrastructure for a digital marketing agency serving automotive clients: scalable ETL pipelines ingesting data from CRMs, Google Analytics, and ad platforms; database/warehouse optimization; data quality audits; and preparing data for dashboards. Key tech: SQL/NoSQL, Python, ETL tools like Airflow, and cloud platforms (Google Cloud, AWS, Azure).
Mid-level (Pleno) Data Engineer at Inetum, a global IT services and digital solutions company, joining its development team in Peru. Day to day: building and optimizing distributed ETL/ELT data pipelines and data quality on the Azure stack — Databricks, Data Factory, ADLS Gen2 — using PySpark, SQL/PL-SQL, Python and shell scripting.
Data Engineer at Indra Minsait (Peru) building end-to-end data solutions on Microsoft Fabric: ingesting and transforming data from AWS/Azure/GCP/Oracle using Python and PySpark, building Fabric Warehouse pipelines, dimensional models, Power BI reports, and GitHub Actions deployment pipelines. Hybrid role with one office day per month in San Isidro.
Experis Perú (IT staffing) is hiring a Java Backend Developer for a pharmaceutical-sector client: building and maintaining backend services and APIs with Java, Spring Boot, reactive programming (Spring WebFlux/Project Reactor) and microservices, working with Oracle, MySQL, PostgreSQL and MongoDB. The role is based in Peru and is 90% remote.
Backend Java developer building generative-AI solutions for a financial-sector client of Indra: designing intelligent agents, RAG architectures, and microservices/APIs. Core stack includes Java, Spring Boot/Quarkus, WebFlux, Kafka, and Azure OpenAI, working hybrid (3 days onsite in Surquillo, Lima).
Senior backend/data engineer at Indra (Minsait) in Peru: designs and deploys batch data pipelines on Cloudera and Azure (Databricks, Data Factory, ADLS) using Python, PySpark, Scala and SQL. Hybrid role, 2 days/week in office in Chorrillos or La Molina; 4+ years of experience required.
Staff-level engineer at Dub, a link attribution platform for short links, conversion tracking, and affiliate programs. You'd design APIs, schemas, queues, and scale infrastructure for billions of analytics events using Next.js, TypeScript, MySQL, Redis, Kafka, and Clickhouse. Fully remote, Americas timezone, with equity and benefits.
Leads IQVIA's Centralized Monitoring team for global clinical trials: overseeing clinical deliverables, managing CRAs and central monitors, running study/site metrics trend analysis and risk-based monitoring, and keeping studies audit-ready. Requires a life sciences background, 3+ years of clinical monitoring, and 2+ years in a lead role.
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