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Academia Data Engineering Semi Sr. Snowflake - Databricks | Remote 2748

Role overview

Qualifications

  • At least 3 years of professional experience (post-graduation) in Data Engineer, Data Analyst, or BI Developer
  • Strong experience with Python and SQL
  • Experience with ETL processes
  • Knowledge of data modeling concepts

Responsibilities

  • Complete the 1-month specialized Data Engineering Academy focused on Snowflake and Databricks (remote during the program)
  • Work full-time remotely during the academy (Mon-Fri, 9 am–6 pm)
  • After completion, work from the client’s offices in Monterrey, CDMX, or Guadalajara for ongoing projects
  • Collaborate on enterprise-level data engineering projects and participate in ongoing training and professional development

About the company

Xideral logo

Xideral

We are a proudly Mexican corporation, with 20 years of experience and operations in Mexico, LATAM and Canada. We have a highly qualified team that allows us to create tailored solutions, implementations and provide services in the IT area, with the aim of achieving the goals of our customers and support their growth. We are committed to the educational and economic development of our country, so we design employment de-centralization programs that help reduce the migration of young people from disadvantaged regions, which creates a chain of welfare for the communities.

Company details

Company size201 - 500

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Job description

Data Engineering Academy of Snowflake - Databricks | Remote | Mid-Level (3+ Years Experience) (CDMX, 

Monterrey or Guadalajara)

We are looking for a Data Engineering professional who wants to strengthen their technical capabilities through a specialized Data Engineering Academy focused on Snowflake and Databricks.

This 1-month intensive program is designed for professionals with solid foundations in data engineering, analytics, or BI development who are eager to expand their expertise in modern cloud data platforms and work on enterprise-level projects. The academy will be fully remote; however, after completing the program, selected candidates will be required to work from the client’s offices in CDMX, Guadalajara or Monterrey.

Location: Remote, exclusive residents in CDMX, Guadalajara or Monterrey. 

Requirements:

  • Required at least a minimum of 3 years of professional experience (post-graduation) in roles such as Data Engineer, Data Analyst, or BI Developer
  • Strong experience with Python and SQL
  • Experience working with ETL processes
  • Knowledge of data modeling concepts
  • Basic knowledge of Apache Spark
  • Experience working with Git
  • Understanding of Cloud environments
  • Knowledge of JSON
  • Experience working with Agile methodologies (Scrum)
  • Advanced English level (B2 or higher,  preference  C1-  C2  English  level)
  • Required Bachelor’s degree in fields such as:
    • Computer Engineering
    • Information Systems
    • Computer Science
    • Software Engineering
    • Related technology fields

Soft Skills: Analytical thinking, logical reasoning, problem-solving, fast learning, teamwork, and results orientation.

We offer:

  • Remote program with a Full-time schedule, Monday to Friday, 9 am to 6 pm
  • After completing the program selected candidates will be required to work from the client’s offices in Monterrey, Nuevo León.
  • Opportunity for a permanent contract with a Big4 client in Mexico
  • Job offer based on performance and experience during the Academy
  • 1-month specialized Data Engineering Academy focused on Snowflake & Databricks
  • Remote work during the academy
  • Opportunities to participate in different technology projects to accelerate professional growth
  • A collaborative environment where you can connect with professionals who share your interests

You’ll be part of a collaborative environment with continuous training, professional development opportunities, and monthly activities to connect with peers. Interested in shaping your career in data with us? Apply now and be part of this academy!

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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