Data Platform Engineer

ELT/ETL frameworks leveraging dbt, Airflow, Python, and SQL. Integrate data from Salesforce and other enterprise systems into analytical platforms. Design and implement orchestration, monitoring, and automation solutions. Develop and maintain Azure DevOps CI/CD pipelines for automated deployment of data assets. Collaborate with business, architecture, and application teams to deliver high-quality data solutions. Implement data quality, governance, lineage, and security best practices. Troubleshoot and optimize performance issues within Snowflake environments. Support production releases and mentor junior engineers. Mandatory Requirements: 10+ years of experience in Data Engineering and Cloud Data Platforms. 5+ years of experience with Snowflake. 5+ years of experience with Python. 8+ years of experience in Advanced SQL and Data Modeling. 3+ years of experience with: dbt Apache Airflow Azure DevOps CI/CD Pipeline Development Strong experience with: Data Warehousing and ELT concepts Git

and version control Performance optimization and troubleshooting Salesforce integrations Experience integrating Salesforce Sales Cloud, Service Cloud, or Financial Services Cloud with enterprise data platforms. Hands-on experience with Salesforce APIs (REST/Bulk APIs), CDC, and extraction frameworks. Experience building ingestion pipelines from Salesforce into Snowflake. Strong understanding of Salesforce objects, metadata, security, and data models. Experience working in Agile environments and distributed global teams. Strong communication and stakeholder management skills. Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field. Nice to Have: Azure Data Factory (ADF) Azure Functions ADLS Gen2 / Azure Storage Terraform / Infrastructure as Code Data Observability & Monitoring tools Kafka and Event-Driven Architectures PySpark / Apache Spark Experience in: Financial Services Asset Management Wealth Management Regulatory Reporting

Investment Data Platforms Salesforce Financial Services Cloud Enterprise Data Modernization Programs What can we offer? ️ 23 days of Annual Leave plus the 24th and 31st of December as discretionary days ️ Numerous benefits (Health Care Plan, Internet Connectivity, Life and Accident Insurances). Retribución Flexible´ Program: (Meals, Kinder Garden, Transport, online English lessons, Health Care Plan…) Free access to several training platforms. Professional stability and career plans. UST also compensates referrals from which you could benefit when you refer professionals. The option to pick between 12 or 14 payments along the year. Real Work-Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime…). UST Club Platform discounts and gym access discounts. If you would like to know more, do not hesitate to apply and we’ll get in touch to fill you in on the details. UST is waiting for you At UST, we are

join our team More in detail, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work, with more than 35,000 employees worldwide and a presence in over 35 countries. We are leaders in digital technology services, delivering large-scale technological solutions to major global organizations. What we look for? We are seeking highly skilled Senior Data Platform Engineers with strong expertise in Snowflake, dbt, Apache Airflow, Python, SQL, and Azure DevOps, combined with experience integrating Salesforce platforms to build scalable, cloud-native data and analytics solutions. The ideal candidate is a hands-on senior engineer who can independently drive data platform initiatives, implement best practices, and collaborate with global teams and stakeholders. Key Responsibilities: Design, develop, and maintain scalable cloud-native data platforms and pipelines. Build and optimize enterprise data warehouse solutions using Snowflake. Develop