Data Engineer

🔥 0 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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albo

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

💳 Fintech

🏦 Banking

Fintech • Banking

albo is a FinTech company based in Mexico that offers comprehensive financial solutions, including personal and business debit accounts, credit services, and access to cryptocurrencies. Their services are designed for both individuals and businesses, providing ease of managing finances through their mobile app without costs or commissions. Additionally, albo provides credit options for personal and business needs, integration with cryptocurrency trading, and various features to maintain financial control and security. As a regulated institution by the Mexican National Banking and Securities Commission, albo focuses on delivering secure and efficient financial services to over 2 million users.

📋 Description

• 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