Data Engineer - ETL

Location: Mexico (Mexico City) – Hybrid as per Infosys Mexico policy

Time Zone: CST/EST

Key Responsibilities:

- Designing and developing SQL code (AWS Athena) required
- Developing and editing Tableau workbooks experience required
- Designing and developing automated solutions
- Performance monitoring and tuning of existing automated jobs
- Troubleshooting failures
- Ad hoc analyses
- Query data to answer business questions and to support investigations
- Engage with subject matter experts to develop metrics and key performance indicators

Required Skills & Qualifications:

- Outstanding ability to communicate clearly and concisely
- Thorough, take detailed notes and capture correct information
- Strong ETL development background (minimum of 1-2 years experience)
- Experience with Tableau (minimum of 1-2 years experience)
- Experience with SQL for analysis and data investigation (minimum of 1-2 years experience)
- AWS cloud experience (Cloudwatch, Lambda, EMR, Athena)
- Excellent analytical skills, curious about data
- Ability to think creatively to identify solutions
- Driven, hungry for opportunities
- Ability to self-manage multiple projects and deadlines
- Desire to learn and continue growing your technical skillset

Soft Skills:

Strong leadership and stakeholder management.

Meeting Stringent Timelines with focus





Excellent problem-solving and analytical mindset.

Ability to communicate complex technical findings to non-technical audiences.

Proactive and detail-oriented with a focus on continuous improvement.

About Us

Infosys is a integral 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.

📌 Quality Engineering Lead - Data Engineer ETL (Ciudad de México)
🏢 Infosys
📍 Ciudad de México