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Jobs in Merida, Mexico

ABL - Data Lake & Business Intelligence Consultant

Capgemini

Ciudad de México
Remote
MXN 400,000 - 600,000
10 days ago
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Grupo Autofin Monterrey

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Mexico
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MXN 922,000 - 1,477,000
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MXN 400,000 - 600,000
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Containerization & Virtualisation Engineer

Canonical

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Canonical

Aguascalientes
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MXN 1,107,000 - 1,385,000
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Cloud Professional Services Manager

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MXN 1,845,000 - 2,399,000
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Financiamiento Innovador para la Niñez y la Adolescencia en México, Ciudad de Mexico, Mexico, 8[...]

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ABL - Data Lake & Business Intelligence Consultant
Capgemini
Ciudad de México
Remote
MXN 400,000 - 600,000
Full time
10 days ago

Job summary

A global consulting firm is seeking a Data Lake & Business Intelligence Consultant to design and optimize data pipelines, ensure data integration, and work with cloud solutions. Strong SQL and Python skills are essential. The position is remote, offering competitive benefits and a collaborative environment focused on professional growth.

Benefits

Competitive compensation
Career development programs
Diverse and inclusive work environment

Qualifications

  • At least 3 years of experience working with data platforms and business intelligence.
  • Strong proficiency in SQL and Python for data querying and transformation.
  • Hands-on experience with Databricks and Delta Lake.

Responsibilities

  • Design and optimize data pipelines using Databricks.
  • Ensure seamless data integration and availability.
  • Collaborate with teams to translate business requirements into solutions.

Skills

SQL
Python
Databricks
Delta Lake
Azure
Power BI
Data Governance
Job description
Overview

Recruiter: Alexander González

Position: Data Lake & Business Intelligence Consultant

Location: CDMX

Work Modality: Remote

Industry - Sector: Retail

What you’ll do
  • Design, implement, and optimize scalable data pipelines using Databricks.
  • Ensure seamless data integration, transformation, and availability across the Data Lake.
  • Write and maintain advanced SQL queries for data analysis and reporting.
  • Use Python to automate data workflows and improve operational efficiency.
  • Apply best practices to ensure data quality, security, and governance.
  • Work with Delta Lake to manage large-scale data storage and versioning.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Deploy and manage data solutions in cloud environments, primarily Microsoft Azure.
  • Monitor and troubleshoot data pipelines to ensure reliability and performance.
  • Contribute to the continuous improvement of BI and data architecture strategies.
What you’ll bring
  • At least 3 years of experience working with data platforms, business intelligence, and cloud-based solutions.
  • Strong proficiency in SQL and Python for data querying, transformation, and automation.
  • Hands-on experience with Databricks and Delta Lake for building and managing scalable data pipelines.
  • Solid understanding of Azure services, including Data Lake and Azure Data Factory.
  • Experience developing and orchestrating data workflows using Data Factories and Notebooks.
  • Knowledge of Power BI, including Power Query and dashboard development with connections to various data sources.
  • Familiarity with data modeling, data governance, and performance optimization in cloud environments.
  • Ability to work collaboratively with cross-functional teams and translate business needs into technical solutions.
  • Strong problem-solving skills and attention to detail in ensuring data quality and reliability.
  • A proactive mindset and eagerness to stay current with emerging data technologies and best practices.
Soft skills

Work Under Pressure, Quality at work, Results Oriented

What can YOU expect in a career with Capgemini?
  • Working in a team environment, Consultants will focus on the analysis, design and development of technology-based solutions for Capgemini’s clients.
  • You will work alongside technical, functional and industry specialists to assist with the development, implementation and integration of innovative system solutions including methods, techniques and tools.
  • You will contribute to client satisfaction by providing timely and responsive value-added services and work products.
  • Capgemini offers a competitive compensation and benefits package.
  • Headquartered in Paris, France, Capgemini has a presence of more than 340 thousand professionals in Mexico distributed among 3 sites located in Mexico City, Monterrey and Aguascalientes. A deeply multicultural organization.
  • Capgemini has developed its own way of working, the Collaborative Business ExperienceTM, and draws on Rightshore, its worldwide delivery model.
You will love this job because
  • Capgemini focuses on giving each new hire a YOU-nique experience through our recruitment process and onboarding program, as well as by helping you to build your own career and professional skills foundation.
  • Capgemini provides a collaborative environment that embodies and holds the following stated values close to heart: Honesty, Boldness, Trust, Freedom, Team Spirit, Modesty, and Fun.
  • Capgemini cultivates an atmosphere for development that enables YOU to be hands-on, planning for your growth, both horizontally and vertically.

“At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.

Click the following link for more information on your rights as an applicant: https://www.capgemini.com/mx-es/aviso-de-privacidad-para-candidatos-a-ocupar-una-vacante/

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process for verification and validation purposes, including during the hiring and onboarding process.”

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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