Data Integration & 5 others
EPAM Systems
Argentina · Amp. Gabriel Hernández, Ciudad de México, CDMX, Mexico · Remote
Posted on Nov 19, 2025
Responsibilities
- Design, build, and maintain scalable and reliable data pipelines using our modern data stack (AWS, Snowflake, DBT)
- Develop and manage a master data source for Real Estate in the company’s data lake, serving as the system of record
- Oversee the complete data lifecycle, including ingestion, normalization, and stewardship of key Real Estate and Legal contract data
- Work closely with data scientists to deliver clean, reliable features for machine learning models, enhancing new store forecast accuracy
- Operationalize data ingestion from various source systems, including Procore, LawVu, and Lucernix, to automate the new shop pipeline
- Collaborate with stakeholders to map critical processes and identify high-impact automation opportunities
- Help transition the team from manual, labor-intensive analysis to scalable, automated model generation and trustworthy data pipelines
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
- Minimum 3 years of relevant experience
- Integration experience with low code IPAAS platforms such as Workato
- Proven track record as a Data Engineer in a cloud-based environment, preferably AWS
- Hands-on experience with a modern data stack, including cloud data warehouses like Snowflake, data transformation tools such as DBT, and integration platforms like Workato or similar
- Strong proficiency in SQL and experience building and maintaining robust data pipelines
- Demonstrated ability to work with fragmented data from multiple systems to create a single, trusted source of truth
- Excellent communication skills and experience collaborating in cross-functional teams
- Self-starter mentality with the ability to drive projects forward and solve complex problems in a dynamic environment
- Fluent English skills (written and spoken) at a C1+ level or higher
Nice to have
- Experience supporting MLOps or Data Science teams, especially with feature engineering and scoring
- Familiarity with data related to Real Estate, legal contracts, or multi-site retail operations
- Python for Data Integration
- Experience with Workato
We offer/Benefits
- 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 LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn