Data Engineer

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Design, build, and operate complex, scalable, and high-performance data architectures and pipelines.

• Lead the integration of various data sources and the transformation of large volumes of information.

• Create and construct batch and streaming pipelines utilizing advanced patterns and best practices.

• Develop and implement testing and data quality strategies.

• Debug distributed data systems and design monitoring and logging systems.

• Create data models for data warehouses, data lakes, and lake houses.

• Manage and optimize databases and storage systems.

• Participate in the selection and implementation of data infrastructure technologies.

• Implement security measures and contribute to data governance.

• Propose solutions that enhance cost efficiency, performance, and resource utilization.

• Mentor junior and mid-level Data Engineers.

• Communicate complex technical ideas and provide constructive feedback.

⛳️ Requirements

• Expert-level proficiency in Python and SQL.

• Extensive experience in designing, developing, and optimizing complex ETL/ELT pipelines.

• Familiarity with Apache Spark, Apache Kafka, and Flink.

• Proven ability to design complex data models for data warehouses, data lakes, and lake houses.

• Experience in designing scalable and resilient data architectures.

• Advanced experience with AWS, Google Cloud, and Azure and their data services.

• Strong understanding and experience in implementing data quality routines and data governance concepts.

• Expert problem-solving skills for complex issues related to data performance, quality, volume, and complexity.

• Proven track record of leading technical data projects, guiding teams, and mentoring Data Engineers.

• Excellent verbal and written communication skills.

• Ability to present complex technical results to both technical and non-technical audiences.

• Proficient in both Spanish and English.

🏝️ Benefits

• 100% remote work with hours aligned to CST.

• Unlimited PTO.

• Annual budget for development: courses, certifications, and conferences.

• Budget for equipment.

• Access to private health coverage or medical insurance subsidies.

• Opportunities for growth, career planning, and mentorship with experts in AI and technology.

• Dynamic and flexible startup environment, with autonomy and a focus on results.

• Work-life balance and flexibility.