
201 - 500 employees
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
GSB Solutions is a global company specializing in offering advanced technological solutions and human capital management to meet the needs of various institutions. With a strong presence in Latin America, GSB Solutions leads the digital transformation through innovative solutions such as software development, IT consulting, and comprehensive cybersecurity services. The company also focuses on educational programs and training to enhance workforce skills. Additionally, GSB provides telecom services that create global connections, facilitating seamless international collaboration. Their expertise extends to managing and integrating technologies across sectors, ensuring growth and innovation for their clients.
🔥 12 hours ago
🗣️🇪🇸 Spanish Required
Airflow
Apache
Azure
Cloud
Docker
ETL
Hadoop
Java
Kafka
Kubernetes
Microservices
MySQL
OpenShift
Oracle
PySpark
Python
Scala
Spark
SQL
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201 - 500 employees
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
GSB Solutions is a global company specializing in offering advanced technological solutions and human capital management to meet the needs of various institutions. With a strong presence in Latin America, GSB Solutions leads the digital transformation through innovative solutions such as software development, IT consulting, and comprehensive cybersecurity services. The company also focuses on educational programs and training to enhance workforce skills. Additionally, GSB provides telecom services that create global connections, facilitating seamless international collaboration. Their expertise extends to managing and integrating technologies across sectors, ensuring growth and innovation for their clients.
• Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time data processing • Build and optimize data models, Delta Tables, and Lakehouse architectures for analytics and reporting • Develop and integrate RESTful APIs and data services across enterprise systems • Implement real-time and high-frequency data ingestion frameworks using streaming technologies and event-driven architectures • Design and manage cloud-native data solutions using Azure Data Factory, Azure Databricks, ADLS, Event Hubs, and Synapse Analytics • Develop and optimize Databricks Spark applications for large-scale data transformation and processing • Ensure data quality, governance, security, and compliance across data platforms • Collaborate with data scientists, analysts, application teams, and business stakeholders • Troubleshoot, monitor, and optimize pipeline performance and data platform reliability • Support DataOps and CI/CD practices for data pipeline deployment and automation
• Strong proficiency in SQL and relational databases such as Oracle, SQL Server, and MySQL • Strong programming skills in Python, PySpark, PL/SQL, Java, or Scala • Hands-on experience with Azure Cloud technologies: Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure Synapse Analytics, Azure Event Hubs, Azure Functions, Azure API Management, and Azure DevOps • Experience with Databricks Lakehouse architecture, Delta Lake, and Delta Tables • Expertise in API development, API integration, RESTful services, and microservices architecture • Experience processing high-volume and high-frequency data with low-latency requirements • Strong knowledge of real-time data ingestion and streaming technologies such as Kafka, Azure Event Hubs, or Kinesis • Experience with Spark, Hadoop, and distributed data processing frameworks • Hands-on experience with OpenShift, Kubernetes, Docker, and containerized deployments • Experience with workflow orchestration tools such as Apache Airflow and Azure Data Factory • Understanding of data governance, data security, and compliance best practices • Advanced conversational English and Spanish essential; language skills will be evaluated • Candidates residing in Mexico who are foreign nationals must have a valid INE, CURP, NSS, and RFC • Preferred: experience with Delta Live Tables, Auto Loader, and Change Data Capture • Preferred: knowledge of DataOps, CI/CD, and Infrastructure as Code • Preferred: familiarity with event-driven architectures and real-time analytics platforms • Preferred: Azure Data Engineer (DP-203) and Databricks certifications
• Excellent superior benefits
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