Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
IDS Comercial

Data Engineer

IDS Comercial

Data Engineer developing and optimizing data processing systems at IDS Comercial, specializing in IT consulting services. Requires advanced English and experience in cloud technologies.

Posted 6/30/2026full-timeRemote • 🇲🇽 MexicoMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in designing and implementing large-scale distributed systems and data pipelines, with a strong focus on scalability, low latency, and fault tolerance. Expertise in processing large datasets using Python, SQL, and various Big Data technologies.

Highest-signal resume keywords
Python Data Pipeline DevelopmentSQL Data TransformationGCP Cloud TechnologiesBig Data Technologies: Hadoop, Hive, Presto, Spark, HBaseAirflow and Github Experience

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
PythonSQLData Pipeline DevelopmentBig Data TechnologiesData Transformation
Tools & Technologies
GCPAirflowGithubHadoopHivePrestoSparkHBase
Industry Keywords
Distributed SystemsData ProcessingScalabilityLow LatencyFault ToleranceAgile Methodologies

Tech Stack

Tools & technologies
AirflowApacheAzureCassandraCloudDjangoETLFlaskGoogle Cloud PlatformHadoopHBaseKafkaLinuxOraclePythonSparkSQL

About the role

Key responsibilities & impact
  • Diseñar, desarrollar, implementar y ajustar sistemas y canalizaciones distribuidos a gran escala
  • Procesar grandes volúmenes de datos, centrándose en escalabilidad, baja latencia y tolerancia a fallos
  • Redactar consultas complejas y altamente optimizadas en grandes conjuntos de datos

Requirements

What you’ll need
  • Estudios de Educación Superior - Título de Licenciatura
  • Experiencia profesional de 2 años
  • Manejo de Python para escribir canalizaciones de datos
  • Amplia experiencia en SQL, especialmente en transformaciones de datos
  • Experiencia en tecnologías en la nube GCP - Indispensable
  • Experiencia en modelos ágiles
  • Experiencia en Airflow y Github
  • Experiencia en tecnologías de Big Data: Hadoop, Hive, Presto, Spark, HBase

Benefits

Comp & perks
  • No se menciona benefticos específicos