Search the 18 jobs at LAAgencia

As a Data Integration Engineer, you will design and develop the Google Cloud Platform data ecosystem, collaborate with clients to gather and analyze requirements, troubleshoot issues, and create efficient data pipelines and applications. You will manage and optimize databases and integrate data from diverse sources to facilitate analytics.

Responsible for designing, developing, and maintaining server-side logic for web applications, implementing APIs, optimizing database schemas, ensuring application security, and collaborating with QA teams to test and document back-end systems effectively.

The Data Integration Engineer will set up data ingestion pipelines using Azure technologies, develop scalable frameworks for data ingestion and processing, manage SQL Server databases in Azure, and integrate data from multiple systems. Responsibilities also include employing best practices for data manipulation while collaborating and providing technical support to customers.

The Data Engineer is responsible for implementing data ingestion pipelines using Azure services, developing scalable frameworks for data processing, and managing SQL Server databases in the Azure environment. Tasks include data modeling, ensuring data quality, and effective customer communication. The role requires proficiency in cloud solutions and ETL tools, along with the ability to work both independently and in teams.

As a Big Data Engineer with GCP, you will develop IT solutions, ensure compliance with standards, investigate technical issues, and collaborate on data strategies. You will manage stakeholders and lead delivery teams, demonstrating analytical skills and proposing improvements through proof of concepts.

This role involves designing and developing the entire GCP data ecosystem for clients, including cloud-based infrastructure. Responsibilities include gathering and documenting requirements, troubleshooting complex problems, data modeling, and collaborating with cross-functional teams while maintaining high-performance databases.

The Marketing Technology & Content Specialist manages marketing content to enhance the development of marketing assets. Responsibilities include overseeing applications in the Product Data and Content ecosystem, problem-solving for system integrations, writing functional specs, and ensuring effective data integration practices while supporting multiple concurrent projects.

The Platform Architect will design and develop scalable, resilient platform systems for a SaaS company, focusing on cloud infrastructure and automation. Responsibilities include leading infrastructure automation, integrating build tools, designing AWS environments, optimizing cloud costs, and mentoring engineering teams.

The Cloud Ops Engineer will support AWS and Linux/Windows environments, focusing on infrastructure automation, production lifecycle maintenance, and ensuring 24x7 service uptime for the ARCOS platform. Responsibilities include database administration, tooling development, and collaborating with various teams to manage scalable, secure solutions effectively.

The Senior Data Engineer/Data Architect will implement and manage data ingestion pipelines using Azure. Responsibilities include developing frameworks for data processing, designing SQL Server databases, performing data modeling, and integrating various data systems while ensuring quality and consistency. Excellent communication skills and advanced technical knowledge in Azure services are essential.

The Business Analyst (Consumer Data) role involves translating client needs to technical teams, supporting data platform and analytics model development, and collaborating with multi-disciplinary teams for large transformation projects. Responsibilities include stakeholder communication, data analysis, and project delivery support.

The Client Entry Specialist is responsible for accurate payroll data entry, client communication regarding payroll processes, and resolving client queries. This role involves training new employees, updating payroll records, and providing excellent customer service while managing multiple tasks in a fast-paced environment.

The Software Developer in Test (SDET) collaborates with teams to ensure software quality by developing and executing tests. Responsibilities include creating test plans, executing manual and automated tests, analyzing defects, and improving testing processes. Effective communication with stakeholders and engagement in continuous learning are crucial.

The Fullstack Java Developer is responsible for delivering robust software solutions using Java and React.js while collaborating in a team-oriented environment. The role includes backend and frontend development, ensuring effective software design and implementation, and working with cloud systems and databases.

The Tech Lead ensures the successful design and implementation of software solutions while leading and mentoring a team of engineers. Responsibilities include defining technical vision, promoting best practices, managing Agile processes, improving software quality, and providing production support. Effective communication and collaboration with the product and UX teams are key to aligning technical solutions with business goals.

The Head of Data Platforms Practice will lead the development and execution of the Data Platform Practice, focusing on optimizing data platform architectures and technology designs. Responsibilities include creating strategies, advising clients on data management, and collaborating with sales to generate leads. This role demands strong leadership in technology assessments and the implementation of innovative solutions to maximize clients' ROI on data investments.

The Solution Architect will design and integrate data and analytics systems, assess and improve existing architecture, resolve technical issues, guide development teams, and research emerging technologies. Responsibilities include defining solution designs, assessing business impacts of technical choices, maintaining documentation, and contributing to architectural standards.

The Database Administrator is responsible for maintaining and supporting AWS, Linux and Windows environments, and managing Oracle, MSSQL Server, and RDS Aurora PostgreSQL databases. They ensure application availability, automate maintenance tasks, engage in Agile practices, and collaborate with various teams to enhance production environments.