DNASURE_BP-Data Engineer - TL Mexico

Infosys; Monterrey; Híbrido; MXN 600,000 - 900,000; Jornada completa

Descripción de la vacante

A leading IT services company is seeking a Data Engineer to design and build scalable data pipelines using Azure services. The role involves creating and maintaining data storage solutions, ensuring data quality, security, and compliance, and collaborating with cross-functional teams. The ideal candidate has over 7 years of experience in data engineering and strong communication skills in English, with Azure certifications preferred. This position allows hybrid work from multiple locations in Mexico.

Formación

• 7+ years of IT experience, including data engineering and cloud solutions.
• Proven experience implementing Azure services in enterprise environments.
• Strong verbal and written communication in English.

Responsabilidades

• Design and implement data storage solutions.
• Create and maintain data storage solutions including Azure SQL Database and Azure Data Lake.
• Ensure data quality, integrity, and compliance.

Conocimientos

Data pipeline development

Azure Data Factory

Data quality and compliance

Python

ETL processes

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

Azure Databricks

Synapse Analytics

Azure SQL Database

Azure Blob Storage

Descripción del empleo

Data Engineer

Location: Mexico (Mexico City, Guadalajara, Monterrey) – Hybrid as per Infosys Mexico policy (CST time)

Role Overview

Data Engineers design and build scalable data pipelines using tools like Azure Data Factory, Synapse, and Databricks. Manage data storage, transformation, and integration while ensuring data quality, security, and compliance. Collaboration with cross-functional teams and implementing best practices in DevOps, governance, and performance tuning are key to success.

Key Responsibilities

• Design and implement data storage solutions.
• Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
• Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes
• Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations
• Use Azure Data Factory and Databricks to assemble large, complex data sets
• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
• Ensure data security and compliance
• Optimize Azure SQL databases for efficient query performance
• Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures
• Participate in all scrum ceremonies

Basic Qualifications

• Bachelor’s degree or foreign equivalent in Computer Science or related field.
• 7+ years of IT experience , including data engineering and cloud solutions.
• English – strong verbal and written communication.
• Proven experience implementing Azure services in enterprise environments.
• Knowledge of infrastructure (networking, storage, hardware optimization).

Mandatory Skills

• Azure Certification : Solutions Architect, Developer
• Hands‑on experience with: ADF, Synapse Analytics, Data Lake storage, SQL database / SQL server, Azure Databricks
• Python, PySpark
• ETL and Pipeline designs

Preferred Skills

• Blend of technical expertise, analytical problem‑solving, and collaboration with cross‑functional teams
• Azure DevOps
• Apache Spark, Python
• SQL proficiency
• Data modeling
• ETL processes
• Azure Databricks knowledge
• Familiarity with data warehousing
• Big data technologies
• Data governance principles

Other Requirements

• Ability to work under tight timelines and manage complex requirements.
• Flexible to work extended hours if needed.
• Self‑motivated, proactive, and a strong team player.

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.