• Design and build a centralized semantic data layer using Cube Core (or equivalent technology such as Headless BI, dbt Metrics Layer, or Metriql) that provides a unified, governed abstraction over all company data sources. • Define semantic models, metrics, dimensions, and relationships that map to business domains across marketing, advertising, identity resolution, and customer analytics. • Expose the semantic layer via REST/GraphQL APIs and MCP-compatible tool interfaces purpose-built for consumption by AI agents and LLMs. • Integrate and unify data from heterogeneous systems including MySQL, DynamoDB, Aerospike, Snowflake, Amazon S3 (data lakes), Apache Kafka, Amazon SQS, and other internal data stores. • Build connectors, adapters, and federation layers to query across both operational (OLTP) and analytical (OLAP) data sources in a performant, cost-efficient manner. • Ensure seamless handling of both data at rest (warehouses, lakes, databases) and data in motion (streaming platforms, event buses, message queues).

Company Overview: Global Technology Services is a rapidly expanding organization situated in Medellín, Colombia. We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors. Our corporate projections offer a multitude of opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America, the Philippines, and the United States, contributing to cutting-edge developments in multiple industries. Position: Senior Data Engineer Location: LATAM What you will be doing: We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and architectures. This role requires deep expertise in modern data platforms, particularly Snowflake and AWS services, along with strong programming and data modeling skills. You will play a key role in enabling data-driven decision-making by ensuring reliable, efficient, and secure data systems. Required Skills & Experience - 5+ years of experience in data engineering or related roles - Strong hands-on experience with Snowflake (data modeling, performance tuning, security) - Advanced proficiency in SQL for complex data transformations and optimization - Strong programming skills in Python - Extensive experience with AWS services: - S3 (data storage and management) - Lambda (serverless processing) - Glue (ETL orchestration) - SQS (event-driven architectures) - Experience with version control and collaboration tools such as GitHub - Solid understanding of data warehousing concepts and best practices - Experience building and maintaining large-scale, distributed data systems Nice to Have Skills - Experience with data orchestration tools (e.g., Airflow) - Familiarity with streaming/data event architectures - Knowledge of data governance, security, and compliance frameworks - Experience with infrastructure as code (e.g., Terraform) - Exposure to DevOps/DataOps practices Soft Skills - Strong problem-solving and analytical thinking - Excellent communication and stakeholder management skills - Ability to work independently and in a team-oriented environment - Strong attention to detail and data quality - Mentorship and leadership capabilities

Basic Qualifications Bachelor’s degree in Information Technology, Engineering and/or related field or equivalent experience, plus 8 years of related experience or Master’s degree and 6 years of related experience. Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position General Dynamics Mission Systems has an immediate opening for a Sr Advanced Denodo Developer – Data Integration. This position provides an opportunity to further advance the cutting-edge technology that supports some of our nation’s core defense/intelligence services and systems. General Dynamics Mission Systems employees work closely with esteemed customers to develop solutions that allow them to carry out high-stakes national security missions. A Denodo Developer designs, develops, and maintains data virtualization solutions using the Denodo Platform, integrating data from multiple sources to deliver unified, efficient business data views. Core Responsibilities - Develop and maintain Denodo Views and data virtualization layers to unify data from diverse sources such as relational databases, cloud platforms, big data, and SaaS applications - Optimize query performance and tune the Denodo environment to ensure efficient data retrieval - Design and implement scheduling jobs within Denodo (e.g., Denodo Scheduler) to automate data workflows - Coordinate with business stakeholders, data architects, and analysts to gather requirements, analyze data needs, and design appropriate virtual data models - Develop new functionalities and maintain existing features on the Denodo platform, including writing automated tests and maintaining product documentation - Implement security protocols and access controls to protect data within the virtualization platform - Troubleshoot integration and data quality issues within the virtualized environment Required Skills and Qualifications - Proficiency with Denodo Platform, especially in developing data views and working within its virtualization environment - Strong knowledge of SQL and relational database design; ability to write complex queries and perform data modeling - Experience with Java programming and object-oriented design principles - Familiarity with cloud platforms (AWS, Azure, Google Cloud), container technologies (Docker, Kubernetes), and web technologies is advantageous - Strong analytical, problem-solving, and communication skills to collaborate effectively across teams and translate technical requirements - Experience with tools like Git, Jenkins, Maven, and familiarity with Agile software development methodologies - Certifications such as Denodo Platform Certified Developer, Administrator, or Architect are highly valued - Preferred experience includes working knowledge of web services (REST APIs), security protocols (OAuth, SAML), Snowflake Platform and integration with BI tools like Tableau or Power BI - Typically requires 5-7 years of experience in software development or specifically working with data virtualization tools - Prior experience with ETL tools (Informatica, DataStage) and data quality frameworks can be beneficial but not mandatory Salary Note This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled. Combined Salary Range USD $132,930.00 - USD $143,835.00 /Yr. Company Overview General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team! Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

• Lead, mentor, and develop engineers across both the Data Operations and Analytics Engineering teams • Contribute to a culture of clear goals, open feedback, and continuous growth across the team. • Promote collaboration and accountability while driving high standards for quality, efficiency, and continuous improvement. • Lead incident management and resolution for pipeline failures, cluster issues, and data quality problems, driving thorough root cause analysis and preventative improvements • Define and enforce operational standards, runbooks, and on-call practices for the team • Manage and maintain Databricks Workflows and job orchestration, ensuring SLAs are consistently met • Oversee the design, development, and maintenance of data models and transformations that serve business intelligence and analytics use cases • Define and enforce analytics engineering best practices including modular transformation patterns, data testing, and code review standards • Partner with data analysts and business stakeholders to understand modeling requirements and ensure data is accurate, accessible, and well-understood