Azure Data Engineer (Ingeniero de Datos Azure)
Location: Mexico (Mexico City, Guadalajara, Monterrey) – Hybrid as per Infosys Mexico policy (CST/EST time)

• Review team monitoring reports to identify issues and create the corresponding PBIs/user stories for resolution.
• 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, 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.

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

• 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, and other potential data sources.
• Experience with Azure Cloud Services: Demonstrated knowledge of cloud platforms—specifically Azure—including storage, security, and resource optimization.

• 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.

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

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

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.