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, Philippines and the United States, contributing to cutting-edge developments in multiple industries. Position Title: Senior Data Engineer Location: LATAM What you will be doing: We are seeking a skilled Senior Migration Engineer to support the migration of enterprise data warehouse workloads to the Databricks Data Intelligence Platform. This role is highly hands-on and focuses on executing migration activities, including assessment, SQL code conversion, data movement, validation, and production cutover support. You will collaborate closely with client data teams and internal stakeholders, leveraging modern data engineering tools and migration frameworks to ensure high-quality, scalable, and reliable data platform transformations. Required Skills & Experience To excel in this role, you should possess: - 5+ years of experience with Microsoft SQL Server as developer. - T-SQL, stored procedures, SQL Server Integration Services (SSIS), SQL Server Agent - 1+ year of experience with Databricks or Apache Spark - Databricks SQL, Delta Lake, Unity Catalog fundamentals - Strong understanding of data type mapping between SQL Server and Databricks - Hands-on experience with ETL/ELT patterns (incremental loads, MERGE operations, data validation) - Experience with SQL transpilation/migration tools (e.g., Lakebridge/BladeBridge, Morpheus, or similar) - Familiarity with command-line tools and connectivity frameworks - Familiar with Databricks CLI, Azure/AWS CLI, JDBC, pyodbc - Ability to debug, troubleshoot, and optimize converted SQL and ETL processes Nice to Have Skills: - Python / PySpark for ETL transformations and stored procedure rewrites - Experience with data reconciliation frameworks and validation strategies - Familiarity with Infrastructure as Code (Terraform, DABs) - Previous experience in large-scale data warehouse migrations - Databricks Data Engineer Associate certification Soft Skills: - Strong analytical and problem-solving skills with attention to detail - Effective communication skills for collaborating with technical and non-technical stakeholders - Ability to work independently in a fast-paced, client-facing environment - Adaptability to evolving project requirements and technologies - Strong documentation and knowledge-sharing practices Why you will love Lean Tech: - Join a powerful tech workforce and help us change the world through technology - Professional development opportunities with international customers - Collaborative work environment - Career path and mentorship programs that will lead to new levels. Join Lean Tech and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will play a vital role in our continued success. Lean Tech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

• Create and maintain optimal data pipeline architecture • Assemble large, complex data sets that meet functional / non-functional business requirements. • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. • Create data tools for team members to assist them in building and optimizing analytics production. • Work with data and analytics experts to strive for greater functionality in our data systems. • Other duties as required.

• Own the Data Platform • Design, build, and operate MDVIP’s data platform on Azure Databricks—ingestion, transformation, storage, and serving layers that power analytics, AI models, and operational reporting. • Build and maintain data pipelines across MDVIP’s ecosystem: Salesforce, SQL Server, Snowflake, third-party sources, and the new cloud-native payments platform. • Engineer for quality and trust—validation checks, anomaly detection, lineage tracking, and documentation that ensure every downstream consumer can rely on the data. • Write clean, version-controlled, production-grade code. • Think like a software engineer building a product, not a script runner maintaining jobs. • Go Deep Into the Business Domain • Partner directly with business stakeholders across physician growth, member services, finance, and operations to understand how data drives decisions—then build for those decisions, not for abstract requirements. • Act as a technical product owner for your domain areas: own the backlog, prioritize based on business impact, and ship iteratively without waiting for a PM to sequence your work. • Translate ambiguous business questions into data models, feature tables, and curated datasets that analysts and data scientists can build on immediately. • Close the loop—follow your data through to the dashboard, the model, or the operational workflow and validate that it’s actually driving the outcome. • Drive AI-First Engineering Practices • Use Claude Code and agentic development as your primary workflow—AI-driven pipeline generation, automated testing, rapid prototyping—to ship at a pace that would be impossible with traditional approaches. • Build data infrastructure that is AI-ready: well-documented, semantically clear, and structured so that AI tools and agents can reason over it effectively. • Scout, evaluate, and adopt emerging AI tools and platforms that make the data team faster—separating real value from hype with hands-on testing. Share what you learn. Document patterns, run demos, and help the broader team adopt AI-first workflows with confidence.

Company Summary First American (India) is a GCC (Global Capability Center) of the First American Financial Corporation (NYSE: FAF) family of companies. FAI is a proud member of the FORTUNE 500 companies and has been amongst the Fortune 100 Best Companies to Work For® list for eight consecutive years. First American Financial Corporation provides comprehensive title insurance, closing/settlement, property data and technology solutions. First American (India) creates quality solutions for its customers by combining software, back office, and knowledge processing operations to fulfill First American's business requirements. Our priorities are our employees, customers, and shareholders - in that order. First American (India) has been ranked amongst India's Best Companies To Work For™ 2023: Listed amongst the Top 100 by Great Place To Work® India, FAI is also certified Best Workplaces for Women and Workplace with Inclusive Practices. Software Services helps build First American's product suite that encompasses the best in class Title Insurance, Settlement and Mortgage solutions platforms. Leverages technology product stack across Microsoft platform predominantly to develop, enhance and maintain the best in class applications. The R & D division delivers solutions for the title insurance industry leveraging the best of NLP, AI and ML. Job Summary FAI is committed to create an environment that respects, supports and inspires all individuals. We do not discriminate on the basis of color, religion, sex, gender identity, sexual orientation and age. At FAI, we celebrate diversity and believe that an inclusive workforce benefits employees, the organization and our community. We are an Equal Opportunity Employer. For more information about our company and dedication to putting People First, check out https://firstam.wd1.myworkdayjobs.com/faicareers.