Senior Data Software Engineer

We are seeking a Senior Data Software Engineer with exceptional skills to join our team and spearhead the development and optimization of data integration and processing pipelines fueling Enterprise Data Products. This position will drive a major initiative to transition from Azure Synapse Data Warehouse to a modern Databricks-based architecture, integrate Dremio for semantic interfaces, and implement domain-driven data modeling.

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Responsibilities

• Create efficient and high-performance data pipelines within Databricks Medallion architecture using DLT
• Apply custom Data Quality components aligned with provided designs
• Perform data modeling and domain-driven design to strengthen the enterprise's new data platform and products
• Design performant ETL pipelines to transform and process extensive datasets
• Manage semantic models in Dremio based on detailed directives
• Enhance data systems for scalability and reliability in production environments
• Collaborate with cross-functional teams to rationalize existing PowerBI reports and align them with newly built data products
• Diagnose, debug, and refine data integration processes
• Document workflows, processes, and data transformations comprehensively
• Drive improvements in data engineering practices and tooling 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 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 with an ability to deliver high-quality solutions under tight deadlines
• Excellent command of written and spoken English (B2+ level)

• Proficiency in Dremio with focus on creating and optimizing semantic interfaces
• Familiarity with PowerBI report rationalization and alignment with 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