We are looking for a highly skilled Senior Data Software Engineer to join our team and lead efforts in building and optimizing data integration and processing pipelines that power Enterprise Data Products. This role involves working on a transformative project to replace Azure Synapse Data Warehouse with a modern Databricks-based architecture, introducing Dremio for semantic interfaces, and implementing domain-driven data modeling.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

#LI-DNI

Responsibilities

Develop efficient and high-performance data pipelines within Databricks Medallion architecture using DLT
Integrate and implement custom Data Quality components as per provided designs
Conduct data modeling and domain-driven design to support the enterprise's new data platform and products
Build performant ETL pipelines to transform and process large datasets
Create and maintain semantic models in Dremio following detailed guidance
Optimize data systems to ensure scalability and reliability in a production environment
Work closely with cross-functional teams to rationalize existing PowerBI reports and repoint them to rebuilt data products on the new platform
Troubleshoot, debug, and enhance the functionality of data integration processes
Ensure proper documentation of workflows, processes, and data transformations
Actively contribute to improving the data engineering practices and tooling across the organization

Requirements

3+ years of experience in software engineering or data engineering roles
Proficiency in Azure Databricks, including DLT and Unity Catalog
Competency in PySpark or a combination of Spark experience with strong Python fundamentals
Background in Azure Synapse analytics
Understanding of designing and building data pipelines using modern cloud architecture
Skills in data modeling and domain-driven design principles
Familiarity with Dremio or similar semantic layer tools
Showcase of building performant ETL pipelines for large-scale data systems
Capability to work collaboratively within a multi-disciplinary team
Strong problem-solving skills and the ability to deliver high-quality solutions under tight deadlines
Excellent command of written and spoken English (B2+ level)

Nice to have

Expertise in Dremio, including creating and optimizing semantic interfaces
Flexibility to work with PowerBI report rationalization and repointing to data products
Knowledge of custom Data Quality frameworks or similar data validation tools

We offer

Connectivity Bonus (15,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept)
Medicina Prepaga (It covers the collaborator and direct family group)
Paternity Leave (Two additional days are added to what is established by law, total of 4 days)
Discounts card
English Training (English lessons, twice per week)
Training Program (Access to multiple customized training plans according to the needs of each role within the company)
Marriage bonus (The company doubles the allowance established by law that ANSES offers)
Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company)
External Agreements and Discounts
Vacations: 14 calendar days a year