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Mid Data Engineer – Scale Fintech Data Pipelines (Mexico City)
Designs, builds, and optimizes data pipelines for a fintech company, ensuring reliable data flow to the warehouse using cloud tools like AWS/Google Cloud, Spark, and Kafka.
Data Engineer
Build and maintain scalable data pipelines with Spark to collect, store, and process iGaming data, then deliver dashboards and reports for data-driven decisions.
Data Engineer
Build and maintain Snowflake data pipelines and warehouses that centralize fund data, automate reporting, and power client-facing analytics dashboards.
Data Engineer
Build and maintain scalable data pipelines for market abuse surveillance, ingesting trade, market, and communications data into AWS and Snowflake while enforcing data quality and regulatory compliance.
CLOUD DATA ENGINEER
Designs and maintains AWS-based data pipelines and cloud infrastructure using Python, SQL, and AWS services like Glue and Lambda to build scalable, secure data solutions.
Databricks Data Engineer
Build and maintain scalable ETL/ELT pipelines on Databricks using PySpark, Delta Lake, and Unity Catalog, then surface insights via BI tools and GenAI-ready datasets.
Analytics Data Engineering
Designs and maintains data infrastructure and pipelines using Apache Kafka, Spark, and Airflow to support AI/ML and BI workloads.
Data Engineer: Scale Data Pipelines for AI & BI
Designs, builds, and deploys data pipelines to power AI/ML models and BI insights for customers using cloud platforms and big-data tools.
Data Engineer: Build AI-Ready Data Pipelines
Design and deploy scalable data pipelines for AI/ML and BI using Spark, Hadoop, Kafka, and SQL warehouses while ensuring data quality and governance.
Data Engineer
Design and maintain scalable data pipelines, ETL/ELT workflows, and data warehouses to transform raw data into actionable insights using SQL, Python, and cloud platforms like AWS/Azure.
Data Engineer
Build and optimize data pipelines and storage systems using Spark, Hadoop, Snowflake, and Airflow to process large-scale datasets for analytics and modeling.
Data Engineer
Build and maintain scalable data pipelines and warehouses using BigQuery, ClickHouse, Airflow, Kafka, and CDC tools to power analytics and reporting.
Data Engineer
Builds and maintains scalable data pipelines, warehouses, and Power BI models to turn raw data into reliable analytics and dashboards.
Java Backend Engineer | Spring Boot & Microservices
Build and maintain scalable Java microservices using Spring Boot, REST APIs, Kafka/IBM MQ, and Oracle/PostgreSQL in a collaborative international team.
Principal Software Engineer
Principal Engineer shaping a scalable platform for customer conversations, coding in Java/TypeScript, and guiding teams on distributed systems and micro-frontend architecture.
Staff software engineer
Lead software engineer designing, building, and maintaining scalable Java/Spring applications with distributed systems and cloud technologies.
Principal Software Engineer
Principal Engineer shaping a scalable platform for customer conversations using Java/TypeScript, cloud-native tools, and event-driven architecture to reduce friction across teams.
Senior Software Engineer
Build and maintain cargo management software using Java, Spring Boot, and Python, integrating with C++ systems and deploying to Linux/AWS.
Lead Backend Engineer (Remote) - Go, Kafka & K8s Architect
Lead backend engineer designing and scaling Go-based ride-hailing systems with Kafka, Kubernetes, Redis, and PostgreSQL while mentoring engineers.
Lead Software Engineer (Backend)
Lead backend engineer building scalable, event-driven systems in Go, Kafka, and Kubernetes to power a high-traffic ride-hailing platform across the Philippines.