Senior Data Software Engineer

We are seeking a highly skilled Senior Data Software Engineer to join our team and lead the development and optimization of data integration and processing pipelines that support Enterprise Data Products. This role focuses on a transformative project to transition from Azure Synapse Data Warehouse to a modern Databricks-based system, featuring Dremio for semantic interfaces and domain-driven data modeling.

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Responsibilities

• Build efficient and high-performance data pipelines within Databricks Medallion architecture using DLT
• Integrate and implement custom Data Quality components based on detailed designs
• Conduct data modeling and apply domain-driven design to support a new enterprise data platform and products
• Develop performant ETL pipelines for transforming and processing large datasets
• Create and maintain semantic models in Dremio according to outlined specifications
• Optimize data systems for scalability and reliability in production environments
• Collaborate with cross-functional teams to rationalize existing PowerBI reports and align them with the new platform
• Troubleshoot, debug, and enhance data integration processes to ensure functionality
• Ensure comprehensive documentation of workflows, processes, and data transformations
• Actively participate in advancing data engineering practices and improvements across the organization

• 3+ years of experience in software engineering or data engineering roles
• Proficiency in Azure Databricks, including DLT and Unity Catalog
• Competency in PySpark or Spark combined with a solid Python foundation
• Background in Azure Synapse analytics
• Understanding of building data pipelines using modern cloud architectures
• Skills in data modeling and implementing domain-driven design principles
• Familiarity with Dremio or equivalent semantic layer technologies
• Showcase of building performant ETL pipelines for handling large-scale datasets
• Capability to collaborate effectively within interdisciplinary teams
• Strong problem-solving skills with a focus on delivering quality outputs in fast-paced environments
• Excellent written and spoken English skills at a B2+ level

• Expertise in Dremio, including experience creating and optimizing semantic interfaces
• Flexibility to use and rationalize PowerBI reports, repointing them to newly developed data products
• Knowledge of custom Data Quality frameworks or comparable data validation tools

• 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