We are seeking a Senior Data Software Engineer to design and build scalable data pipelines and platforms that power analytics, reporting, and AI-driven initiatives. In this role, you will work closely with Product, Engineering, and Business teams to deliver robust, high-quality data solutions using modern cloud and big data technologies. Responsibilities Design and develop scalable batch and streaming data pipelines Build and optimize Databricks, Spark, and Kafka-based solutions Implement data quality, governance, and observability standards Develop data models and reporting foundations for analytics and AI initiatives Partner with Product, Engineering, and Business teams to deliver data-driven solutions Support enterprise reporting, dashboards, and self-service analytics platforms Leverage AI tools such as Claude Code, Git Hub Copilot, and similar platforms for development, testing, and productivity improvements Apply MCP, prompt engineering, and multiple LLMs in AI-assisted development workflows Requirements3+ years of experience in data engineering or a related field Proficiency in SQL, Python, Py Spark, Scala, and Java Expertise in Apache Spark, Spark SQL, Kafka, and Delta Lake Skills in Azure Databricks, Unity Catalog, and Databricks Asset Bundles (DAB)Familiarity with Azure Data Factory (ADF), ADLS Gen2, Azure Key Vault, Azure Cosmos DB, and Azure Monitor Knowledge of Data Modeling,



Data Quality, Data Governance, and PII Handling Background in Medallion Architecture (Bronze/Silver/Gold), CDC, and SCD Type 1 & Type 2 Competency in Azure Dev Ops, Git, CI/CD, and Gradle Proficiency in English at a B2+ level Nice to have Familiarity with Tableau, Thought Spot, Cognos, and Data Visualization Best Practices Knowledge of Semantic Layer Concepts, AI/BI Dashboards, and Databricks Genie Understanding of scalable data platforms, analytics, and reporting solutions We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the Linked In Learning library and 22,000+ courses General career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and Linked In EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
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📌 Senior data software engineer (Ciudad de México)
🏢 Epam Systems
📍 Ciudad de México