Description

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 the clients to develop Data Engineering program which will 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.

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 and libraries for large scale data.
• Experience in working with Azure Databricks or Snowflake.
• Experience in data warehouse 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 team in diverse/ multiple 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. 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.