Tiger Analytics is committed to transforming analytics through technology and innovative solutions for our clients.

We are a leading advanced analytics consulting firm that partners with organizations to leverage their data to drive meaningful business outcomes.

With a strong focus on AI and data science, we help Fortune 100 companies unlock the value of their data through scalable and efficient engineering solutions.

We are currently seeking a Data Engineering Lead to spearhead our data initiatives.

In this role, you will be responsible for designing and implementing data engineering projects, ensuring optimal data architecture, and leading a team of engineers to deliver high-quality data solutions.

You will work closely with cross-functional teams to ensure that data strategies align with business objectives and drive actionable insights.

Key Responsibilities:

- Lead and manage data engineering projects from conception to deployment, ensuring alignment with stakeholder needs.

- Design, build, and maintain scalable data pipelines to support data ingestion, transformation, and storage.

- Collaborate with data scientists and analysts to ensure that data needs are met and provide technical guidance on best practices.

- Implement and maintain data quality and integrity measures.

- Utilize cloud-based data platforms and technologies, particularly Azure,



to enhance data accessibility and usability.

- Mentor and guide junior team members in data engineering concepts and practices.

- Identify opportunities for process improvements and implement solutions that enhance efficiency, scalability, and performance.

Qualifications:

- 8+ years of experience in data engineering, with a proven track record of delivering scalable data solutions.

- Strong expertise in cloud platforms (preferably Azure) and data processing technologies (e.g., Databricks, Spark).

- Proficient in programming languages such as Python and SQL.

- Experience in data modeling, ETL processes, and data warehousing.

- Familiarity with machine learning concepts and integration of ML models into data pipelines is a plus.

- Strong communication skills and the ability to work collaboratively with cross-functional teams.

- Excellent problem-solving skills and a detail-oriented approach.

Benefits:

- A collaborative and innovative work environment.

- Opportunities to work on impactful projects with global clients.

- Competitive salary and benefits tailored to mid to senior professionals.

- Continuous learning and career development opportunities.

- Adaptable working arrangements based in Mexico.

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📌 la26.042 - Data Engineering Lead (México)
🏢 Tiger Analytics
📍 México