Data Engineering Jobs in Peru
There are 196 open Data Engineering jobs in Peru on freehire right now. 36 of them were posted recently. The skills employers ask for most often are sql, python and etl.
Most requested skills
- sql 65%
- python 60%
- etl 45%
- cloud 45%
- azure 42%
- databricks 35%
- aws 31%
- analytics 31%
How the work is done
- Remote 22 · 11%
- Hybrid 7 · 4%
Visa sponsorship offered in 10% of the 10 postings that state a position on it.
Seniority
- Senior 57
- Lead 12
- Junior 3
- Middle 3
- Principal 3
- Staff 2
Who is hiring
- 1000+ employees 19
- 501-1000 employees 18
- 51-200 employees 3
- 11-50 employees 1
- 201-500 employees 1
Data Engineer GCP Sr - BLUETAB - RIMAC
Senior Data Engineer specializing in GCP migrations, automating large-scale data pipelines with Python/Go, Terraform, and CI/CD for Cloud Functions, Dataflow, and Dataproc.
Data Engineer Pleno: ETL y Data Lake en la Nube
Build and maintain a cloud-based data lake, design ETL pipelines, and transform business needs into scalable data products using SQL, Python, and agile methods.
Senior Data Engineer: Lead Data Lake & Cloud ETL
Lead the design and scaling of a cloud-based data lake and ETL pipelines on GCP or AWS using Python and SQL.
Senior Data Engineer: End-to-End Pipelines & AI Tools
Build and optimize end-to-end data pipelines and models on AWS, Snowflake, and Airflow to ensure accurate business metrics for a media company.
Data Engineer - Cloud, PySpark & Databricks Pro
Builds and maintains cloud-based data pipelines using PySpark and Databricks on Azure, AWS, or GCP to support analytics and reporting workflows.
GenAI-Driven GCP Data Engineer
Designs and optimizes GCP data pipelines, integrating GenAI to enable intelligent data workflows for analytics teams.
Data Engineer / Distribuidora de Técnología
Build and maintain data pipelines, warehouses, and dashboards for a Peruvian tech distributor, integrating SQL, SAP HANA, and PostgreSQL sources to deliver trusted analytics for business decisions.
Data Engineer Senior | Automatización & ETL (Híbrido)
Senior Data Engineer designs, builds, and tests ETL pipelines and automation using Oracle, PostgreSQL, Python, and Unix/Linux to deliver analytics solutions in a hybrid Lima role.
P.7302 Data engineer Semi Senior
Builds and maintains data pipelines in Microsoft Azure, integrating sources via ETL/ELT, modeling dimensional schemas, and delivering analytics-ready datasets for Power BI.
Senior Business Intelligence Data Engineer
Build and optimize data pipelines for commercial campaigns and predictive models in a retail bank using AWS S3, Glue, SQL, and Python.
Data Engineer - BI & Analytics (Relocate to Malta)
Designs and builds BI and analytics pipelines using Azure, Power BI, and Microsoft BI stack for a Malta-based client, with hybrid work and relocation required.
Senior Azure Data Engineer - Cloud Data & Analytics
Senior Data Engineer builds and maintains cloud data pipelines on Azure using Data Factory, Databricks, and PySpark.
AWS Data Engineer - ETL, Data Modeling & Governance
Builds and maintains serverless ETL pipelines on AWS for a banking client, focusing on data governance and cataloging using Glue, Lambda, Step Functions, and PySpark.
AWS Data Engineer - Data Governance & ETL (Hybrid)
Designs and runs AWS-based ETL pipelines and data cataloging for a banking client, using Glue, SQL, and PySpark in a serverless setup.
GCP Data Engineer: BigQuery, Serverless & DataOps
Builds and optimizes GCP data pipelines in BigQuery, implements serverless solutions, and enforces data governance and security for analytics dashboards.
Data Governance Specialist (Aws Data Engineer)
Builds and maintains AWS-based data pipelines for a banking client, using Glue, Lambda, Step Functions, and PySpark to integrate, process, and catalog data.
Hybrid Data Engineer | AWS, Python, Spark & Data Modeling
Builds and maintains data pipelines on AWS using Python, Spark, and Glue for a banking project, focusing on data modeling and cloud integration.
Senior Data Engineer - Azure Databricks (Remote)
Designs and maintains scalable data pipelines on Azure Databricks, builds dbt models, and implements ETL/ELT processes with Terraform and CI/CD for analytics.