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.
We are seeking a dynamic and experienced Lead Data Engineer to architect, develop, and maintain cutting-edge data solutions within a fast-paced and collaborative environment.
This role requires expertise in modern data platforms, business intelligence tools, process optimization, and significant experience in agile methodologies, ensuring scalable and efficient data management for actionable business insights.
Responsibilities
- Lead the design and productionalization of ETL/ELT processes to ensure efficient data ingestion and transformation
- Architect and implement Data Platforms/Data Warehousing solutions on technologies such as Microsoft SQL Server, Azure Data Warehouse, or Azure Synapse
- Manage and optimize traditional relational Data Warehouse platforms (e.g., SQL Server, Oracle, Teradata) with expertise in structured data management
- Craft reporting data models using multidimensional/Kimball design principles for high-performance analytics
- Develop ML algorithms or frameworks with Python to support advanced analytics initiatives
- Oversee fine-tuning of T-SQL queries and performance optimization for existing solutions
- Define and enhance workflows leveraging tools like Power BI, Tableau, and QlikView for business intelligence needs
- Create conceptual and logical solution designs through ERD diagramming and Project Start Architecture documentation
- Apply ITIL practices to manage change, incident, problem resolution, release, and service request processes
- Collaborate in agile settings to translate complex challenges into actionable business solutions
- Implement Master Data Management strategies (or Reference Data Management) and design interfaces such as APIs for seamless data exchange
- Ensure scalable and efficient pipelines using platforms like Azure Data Factory, Data Lake, and Databricks
Requirements
- Minimum 6 years of experience designing and developing data ingestion processes within Data Warehouse and Data Lake environments
- Proficiency in Microsoft SQL Server, Azure Data Warehouse, or Azure Synapse; expertise implementing relational Data Warehouse platforms (SQL Server, Oracle, Teradata)
- Advanced competency in multidimensional/Kimball modeling and structured data management
- Strong skills in T-SQL, including advanced query optimization techniques and execution plans
- Proficiency in BI tools such as Power BI, Tableau, or QlikView
- Knowledge of Python for ML algorithm development; flexibility to design or work with ML frameworks
- Capability to define architectural standards and create Project Start Architecture documentation
- Familiarity with ITIL processes related to change, incident, and problem management
- Experience in Azure Data Lake, Data Factory, and Azure DevOps or equivalent AWS/GCP tools
- Background in agile environments with a focus on collaborative, cross-functional problem-solving
Nice to have
- Agile/SAFe certifications
- Azure Data Engineer or equivalent AWS/GCP certifications
- Azure Administrator or Solutions Architect certifications or their AWS/GCP equivalents
- Certified Data Management Professional (DAMA)
We offer
- We believe that the greatest strength of the company is its people. EPAM is fully committed to help its employees to reach their full potential and achieve their professional goals through continues learning. With this in mind, we would like to introduce to you few of the many opportunities and services which we believe will help you expand your current knowledge:
- Full access to cutting-edge tools and technologies
- Competitive compensation depending on experience and skills
- All-around Social package: professional & soft skills training, medical & family care programs, sports
- Relocation opportunities
- Free English classes
- Unlimited access to LinkedIn learning solutions
- Continuous experience exchange with experts and professionals worldwide
- Friendly team and comfortable working environment
- Engineering, corporate, and social events within and outside the Company
- Flexible working schedule
- Opportunities for self-realization
