la26.031 - Data Engineering Lead

Tiger Analytics, LLC; Mexico; On-site; MXN 1,388,888 - 2,083,333; Full time

Benefits offered by this job

Collaborative and innovative work environment

Opportunities to work on impactful projects

Competitive salary and benefits

Continuous learning and career development

Flexible working arrangements

Job summary

Tiger Analytics, LLC is seeking an experienced Data Engineering Lead to drive the development and deployment of complex data infrastructure. This role is crucial for ensuring high-quality data availability to support analytics and AI initiatives.

The candidate should have proficiency in Claude AI, experience with Databricks, and a solid background in Spark/Scala within Azure environments. The company offers a collaborative work environment and flexible arrangements based in Mexico.

Qualifications

• Proficiency in utilizing Claude AI throughout the Software Development Life Cycle (SDLC).
• Hands-on experience with Databricks and Spark/Scala to efficiently process and analyze large datasets.
• Expertise in implementing Claude AI solutions within the Azure cloud environment.

Responsibilities

• Spearhead the development and deployment of complex data infrastructure.
• Ensure high-quality data availability for analytics and AI initiatives.

Skills

Claude AI Skills for SDLC

Databricks

Spark/Scala

Azure cloud

Job description

Tiger Analytics Inc. is a premier AI and advanced analytics consulting firm focused on delivering innovative and scalable data solutions to leading global enterprises. We empower organizations by leveraging cutting‑edge technologies and data‑driven strategies. We are looking for an experienced Data Engineering Lead to spearhead the development and deployment of complex data infrastructure, ensuring high-quality data availability for analytics and AI initiatives.

• Claude AI Skills for SDLC: Proficiency in utilizing Claude AI throughout the Software Development Life Cycle (SDLC) is essential. This includes hands‑on experience with Databricks and Spark/Scala to efficiently process and analyze large datasets. Additionally, expertise in implementing Claude AI solutions within the Azure cloud environment is required, ensuring seamless integration and deployment in cloud‑based infrastructures. Candidates should demonstrate the ability to leverage these technologies to optimize development workflows, improve automation, and enhance overall project outcomes.

• 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.
• Flexible working arrangements based in Mexico.