DNASURE_ExxonMobil - Lead Azure Data Engineer - TL Mexico

Infosys; Región Centro; Hybrid; MXN 1,200,000 - 1,800,000; Full time

Job summary

Infosys, Mexico, is seeking a Lead Azure Data Engineer to steer architecture and delivery of scalable data platforms on Azure. You will mentor teams, drive data modeling, and ensure governance and security across pipelines.

You will work with SQL, Python, Spark, and Spark-based ETL/ELT processes, aligning with enterprise data strategy while collaborating with stakeholders to translate business needs into robust solutions.

Qualifications

• Bachelor's degree in CS or related field.
• 8+ years IT experience including pipeline design and development on Azure cloud services and Snowflake.
• Excellent assertive communication with users and stakeholders in English.
• Understanding of Agile methodologies.

Responsibilities

• Monitor and respond to alert emails regarding execution failures across tools like Databricks, Azure Data Factory, and data quality reports.
• Proactively respond to user questions on team Zoom channels and capture/process issues.
• Work with Azure Cloud Services, Databricks, Python, Spark, and Snowflake to investigate issues and remediate pipelines.

Skills

Python

Spark

ETL/ELT design

English communication

Agile methodologies

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Data Factory

Databricks

Snowflake

Azure Cloud Services

Job description

Lead Azure Data Engineer (Ingeniero líder de Datos Azure)

Location: Mexico (Mexico City, Guadalajara, Monterrey, Queretaro) - Hybrid as per Infosys Mexico policy (CDT/EDT time)

Role Overview

As a Lead Azure Data Engineer , you will drive the architecture, design, and optimization of scalable data platforms and pipelines on Azure, while providing technical leadership and guidance to engineering teams. You will apply advanced expertise in SQL, Python, and Spark to build efficient ETL/ELT solutions, lead data modeling and performance tuning efforts, and ensure seamless integration with diverse data sources and BI tools. Additionally, you will establish and enforce data governance, security, and compliance standards, collaborate with stakeholders to translate business needs into robust solutions, and mentor team members to ensure high-quality delivery and alignment with enterprise data strategy.

Key Responsibilities

• Monitor and respond to alert emails regarding execution failures across all team tools-such as Databricks, Azure Data Factory, or data quality gap reports within our processes.
• Proactively respond to user questions on team Zoom channels, capture issues in our processes, and implement necessary fixes.
• Work extensively with Azure Cloud Services, Azure Data Factory, Databricks, Python, and Spark, snowflake including handling user requested break-ins such as issue investigation, missing data analysis and remediation of jobs or pipelines that did not run according to their pre-configured schedules.

Basic Qualifications

• Bachelor's degree or foreign equivalent in Computer Science or related field.
• 8+ years of IT experience , including pipeline design, support and development (Batch and Streaming) using Azure cloud services and Snowflake.
• Excellent assertive communication with users and stakeholders in English.
• Understanding of Agile methodologies.

Mandatory Skills

• Proficiency in Python: Advanced/expert-level proven experience in Python and Spark.
• Strong understanding of ETL/ELT processes: Proven experience designing and maintaining ETL processes in Databricks and Azure Data Factory, including connectivity with third party systems/APIs, Event Hubs, Snowflake and other potential data sources.
• Experience with Azure Cloud Services: Demonstrated knowledge of cloud platforms-specifically Azure-including storage, security, and resource optimization.

Preferred Skills

• Experience working with Git-based version control (e.g., GitHub, GitLab, Bitbucket) and familiarity with branching strategies, pull requests, and code review workflows.
• Focus on system maintenance: Strong emphasis on proactive detection and fast reactive maintenance of running jobs and pipelines.

Other Requirements

• Ability to work under tight timelines and manage complex requirements.
• Flexible to work during CDT/EDT time zones and meet for hand-over activities to India team if needed.
• Self-motivated, proactive, and a strong team player.