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

• Design, develop, implement, and fine-tune large-scale distributed systems and pipelines that process substantial volumes of data.

• Focus on scalability, low latency, and fault tolerance in every system constructed.

• Advanced English proficiency.

• Experience with Python for writing data pipelines and data processing layers.

• Extensive experience and proficiency in SQL, optimized for data transformation and business rule implementation.

• Hands-on experience with ETL tools, such as Dataiku, for the preparation, transformation, and orchestration of data pipelines.

• Familiarity with Airflow and GitHub.

• Experience with cloud technologies (GCP).

• Professional experience with Big Data Technologies including Hadoop, Hive, Kafka, Presto, Spark, HBase, Automic, and Aorta.

• Proven experience in leading work teams.

• Monthly base salary (100% payroll scheme).

• Legal benefits.

• Attendance bonus (10% of the monthly base salary).

• 5% housing fund (% of payroll).

• 2% retirement fund (% of payroll).

• Major Medical Expenses Insurance.

• Minor Medical Expenses Insurance.

• Accident Life Insurance.

• Savings Fund (Optional).

• Fleet Car Insurance (Optional).

• Commercial Agreements.

Data Engineer

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