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Python + SQL Data Engineer – Ingeniero de Datos de Python + SQL

Infosys Limited

Ciudad de México, Monterrey, Guadalajara

Presencial

MXN 732,000 - 1,100,000

Jornada completa

Hoy
Sé de los primeros/as/es en solicitar esta vacante

Descripción de la vacante

A leading technology consultancy is seeking a Python + SQL Data Engineer in Mexico City. In this role, you will develop Data Engineering programs, build data pipelines, and enable executive reporting through dashboards. Candidates should have at least 4 years of experience and strong skills in Python and SQL. This is a great opportunity for those passionate about data and client collaboration.

Formación

  • At least 4 years of experience in Information Technology.
  • Project experience in Python and SQL (3+ years).
  • Good understanding of ETL concepts.

Responsabilidades

  • Develop Data Engineering programs with data pipelines.
  • Enable executive reporting using dashboards.
  • Collaborate with clients to deliver data-driven solutions.

Conocimientos

Python
SQL
Communication skills
ETL concepts

Educación

Bachelor's degree or foreign equivalent

Herramientas

AWS
Azure
Hadoop
Databricks
Snowflake
Descripción del empleo
Overview

INFYMEX – Python + SQL Data Engineer – Ingeniero de Datos de Python + SQL. Infosys is seeking Data Engineers with Python and SQL experience. In this role, you will work directly with clients to develop Data Engineering programs which include building data pipelines and data lake initiatives, executive reporting using dashboards, and process/workflow definition implementation. You will be part of an entrepreneurship and learning culture where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Locations for this position are Mexico (Mexico City, GDL and MTY).

Basic Qualifications:

  • Bachelor’s degree or foreign equivalent required from an accredited institution.
  • At least 4 years of experience in Information Technology for JL4.
  • Very good communication skills + English level.
Responsibilities

Develop Data Engineering programs with building Data Pipelines and Data Lake initiatives. Enable executive reporting using dashboards and implement process/workflow definitions. Collaborate with clients and team members to deliver data-driven solutions.

Mandatory Skillsets
  • At least 3 years of project experience in Python and SQL.
  • Good understanding of ETL concepts.
Good to Have
  • Experience with Cloud Platforms (AWS or Azure).
  • Experience in Big Data ecosystem using Hadoop/Python/Scala/Spark/PySpark packages for large-scale data.
  • Experience in working with Azure Databricks or Snowflake.
  • Experience in data warehousing using any ETL tool.
  • Experience in Unix shell scripting.
Other Relevant Experience
  • Experience in software development life cycle.
  • Working in an agile environment; works on new systems development and enhancement/maintenance of existing systems.
  • Ability to work in a diverse, multi-stakeholder environment.
  • Preferred - Experience in Financial Services, Insurance Domain.
EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race, color, sex, gender identity, sexual orientation, religious practices and observances, national origin, pregnancy, childbirth, or related medical conditions, status as a protected veteran or spouse/family member of a protected veteran, or disability.

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