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Getecsa Tech Stack

Software development and IT services outsourcing partner based in Mexico

IT Services and IT Consulting Ciudad de México 501–1,000 employees Founded 2005 Privately Held

Getecsa is a Mexico-based IT services and outsourcing firm founded in 2005, operating at 501–1,000 employees. The tech stack centers on SQL Server, Azure DevOps, and Jira for project delivery, with active work in data pipelines (Spark, Airflow, PostgreSQL). Current hiring is balanced across engineering, data, and finance roles at mixed seniority levels, all in Mexico, with velocity accelerating — a signal of growth in nearshore service delivery.

Tech Stack 19 technologies

Core StackSQL Server Jira Azure DevOps Confluence Python Apache Spark Apache Airflow PostgreSQL Scala Java Linux HP ALM Microsoft Project Git SQL HDFS Impala Xray

What Getecsa Is Building

◆Challenges

Bank transformation

▲Active Projects

Data pipelines using spark
Etl/elt automation with airflow

Hiring Activity

Accelerating6 roles · 3 in 30d

Department

Engineering

3

Data

2

Finance

1

Seniority

Junior

2

Mid

2

Senior

2

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About Getecsa

Getecsa provides consulting, custom software development, cloud solutions, QA services, and IT staffing for mid-market and enterprise clients. The company operates as a specialized services center with capabilities spanning mobile development, functional and non-functional testing, and personnel outsourcing in technology roles. Based in Mexico City and founded in 2005, Getecsa serves clients across multiple industries, with particular visibility in financial services transformation projects.

HeadquartersCiudad de México

Company Size501–1,000 employees

Founded2005

Hiring MarketsMexico

Frequently Asked Questions

What tech stack does Getecsa use?

Core stack: SQL Server, Azure DevOps, Jira, Confluence for collaboration; Python, Java, Scala for development; Apache Spark, Airflow, PostgreSQL, HDFS, Impala for data pipelines; Git for version control; HP ALM and Xray for QA.

What is Getecsa working on?

Active projects include data pipeline development with Apache Spark and ETL/ELT automation using Apache Airflow, indicating focus on data engineering services.