Data Engineer
Posted 2hrs ago
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Job Description
Database Administrator scaling albo’s hybrid financial data infrastructure. Managing GCP, ETL pipelines, MySQL, MongoDB, and SPEI payment-system reliability.
Responsibilities:
- Design, build, and maintain robust, scalable ETL/ELT pipelines using Python, Spark, and Apache Airflow for high volumes of financial data
- Architect, deploy, and optimize the data environment on Google Cloud Platform using Terraform
- Administer, monitor, and scale hybrid MongoDB and MySQL databases
- Guarantee 99.99% availability, disaster recovery, and seamless data flow for on-premise MySQL instances supporting Mexico's SPEI payment system
- Identify data bottlenecks, optimize complex queries, refine indexes, and manage partitioning for millisecond-level latencies
- Integrate Generative AI tools into daily workflows to accelerate data modeling, automate ETL scripting, and analyze infrastructure logs
Requirements:
- 4+ years as a Data Engineer, Data Platform Engineer, or similar role, with foundational knowledge of Database Administration (DBA) in high-transaction environments
- Deep, hands-on experience with GCP, including Cloud Storage, Compute Engine, Cloud SQL/Spanner, etc.
- Experience orchestrating complex workflows with Apache Airflow
- Advanced proficiency in Python for data processing
- Bash scripting proficiency
- Terraform/Ansible experience for automated deployments
- Strong hands-on experience administering and tuning MySQL, MongoDB, and distributed databases such as SingleStoreDB or similar
- Expertise in execution plans, query optimization, high availability, and database replication strategies, including cross-site replication and Group Replication
- Experience handling critical financial systems, massive transactional data, or payment gateways
- Native or fully fluent Spanish, conversational and technical
- Minimum 4 years of proven experience building data pipelines, automating processes, and managing data infrastructure
- Solid and demonstrable experience with Google Cloud Platform and Apache Airflow
- Advanced proficiency in Python and Infrastructure as Code tools, primarily Terraform
- Practical experience administering MySQL, MongoDB, and distributed databases
- Proven experience guaranteeing 99.99% uptime, executing Disaster Recovery Plans (DRP), and managing database replication strategies
- Active daily use of Generative AI tools to create data scripts, optimize queries, or automate repetitive tasks



















