Senior Analytics Engineer designing scalable data models and optimizing data pipelines at Klar. Collaborating with cross-functional teams to ensure data quality and mentorship of business analysts.
Responsibilities
Own and Design Scalable Data Models: Lead the design and implementation of data models using dbt, MageAI, and Amazon Redshift to ensure scalability, performance, and alignment with business needs.
Build and Optimize Data Pipelines: Develop data pipelines using dbt and Amazon Redshift.
Ensure Data Quality and Reliability: Define and implement data quality frameworks, validation processes, and monitoring to ensure high data integrity across the platform.
Automate Processes: Focus on process automation and infrastructure development to enhance the efficiency of processes and the data platform
Mentor and Influence Best Practices: Support and guide business analysts, contributing to standards, code quality, and data modeling practices.
Requirements
Bachelor’s degree in an engineering discipline or analytical field (e.g., Computational, Mechatronics, Mathematics, Physics, etc.)
3+ years of experience with SQL
Experience optimizing complex queries and large-scale datasets
3+ years of experience with the Python programming language
2+ years of experience as an Analytics Engineer (a plus, but not required)
Advanced English level
Strong stakeholder management and communication skills, with the ability to translate technical concepts into clear insights and influence non-technical audiences
Benefits
Competitive salary based on performance and experience
Chance of earning Klar stock options
15 days of paid vacation per year; plus extended maternity and paternity leaves
Vacation premium
30 days of Christmas bonus
Food vouchers
Medical Insurance
Computer devices
Wellhub subscription to offer mental and physical health
Sponsored coaching and therapy sessions via Modern Health
A modern centrally located office in Mexico City with free drinks, snacks, and regular social events
International work environment with amazing and highly skilled people
A world class team that helps you evolve your skills in areas you're interested in
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