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 Lead Data Analytics and Visualization Engineer to drive the design and implementation of advanced data analytics solutions using both classic and cloud-based technologies. You will collaborate with cross-functional teams to deliver high-quality, scalable data solutions and foster a high-performance engineering culture. Join us to lead impactful projects and innovate in a dynamic environment.
Responsibilities
- Lead the design and implementation of modern data analytics solutions using classic (BI platforms, ETL/ELT technology & tools, Databases, DWs, etc.) and cloud-based technologies
- Collaborate with product and engineering teams to understand requirements and evaluate new features
- Build partnerships with architects and key stakeholders across functional groups
- Perform detailed analysis of business problems and technical environments for solution design
- Participate actively in code reviews and testing to ensure adherence to best practices
- Supervise team members and provide technical leadership to foster a high-performance engineering culture
- Write and maintain comprehensive project documentation
Requirements
- Advanced experience (over 5 years) in developing end-to-end data analytics solutions with classic and cloud data technologies
- At least 1 year of relevant leadership experience
- Production experience in Data Analytics, Data Visualization, Data Security, Data Modelling, etc.
- Solid expertise in designing self-service analytical data solutions
- Hands-on experience with advanced and hybrid data modeling approaches
- Knowledge of data lineage, metadata management, and data traceability concepts
- Production experience with data-oriented programming languages such as SQL, Python, SparkSQL, PySpark, R, or Bash
- Experience designing, implementing, deploying, and monitoring scalable and fault-tolerant cloud data solutions
- Good experience with CI/CD principles and best practices at the project level
- Data-oriented mindset with strong compliance awareness, including PI, GDPR, HIPAA
- Motivated and independent with the ability to manage multiple projects and set priorities under pressure
- Analytical problem-solving skills with ability to work abstractly and gain consensus
- Excellent interpersonal, leadership, and communication skills
- Ability to work effectively in a fast-paced, agile development environment
- Experience in direct client communications
- Experience leading technology teams on data-oriented projects
- Solid skills in troubleshooting, monitoring, support, performance tuning, and bottleneck analysis of data solutions
- Experience across different business domains
- English proficiency at B2+ level
We offer/Benefits
- Dynamic, entrepreneurial corporate environment
- Diverse multicultural, multi-functional, and multilingual work environment
- Opportunities for personal and career growth in a progressive industry
- Global scope, international projects
- Widespread training and development opportunities
- Access to LinkedIn Learning solutions
- Competitive salary and various benefits
- Advanced wellbeing and CSR programs, recreation area
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