Senior Data Analytics and Visualization Engineer (EPAM SISTEMOS, UAB)
Darbdavys: EPAM SISTEMOS, UAB
Miestas: Kaunas
Paskelbta: 2026-11-02
Galioja iki: 2026-12-02
💶 3600–5500 €/mėn. Prieš mokesčius · full-time · iki 2026-12-02
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Job Description
We are looking for a Senior Data Analytics and Visualization Engineer passionate about data to extend our team of professionals. In this role, you will work with clients from various business domains 6 Finance, Telecom, Media, Insurance, Oil&Gas, Pharma and others.
This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas.
• Build advanced-level dashboards and reports
• Communicate with the Product owner, gather requirements and conduct demo sessions
• Design and build data models, conduct data preparation and profiling
• Perform detailed analysis of business problems and technical environments
• Manage security and administrate the reporting environment
• Participate in architecture and testing processes to ensure they meet best practice specifications
Requirements
• 5+ years of practical experience with one of the reporting tools 6 Power BI, Tableau
• Programming languages: Python
• Proficiency in Data Analytics and Data Visualization concepts
• Skills in developing reports and dashboards
• Advanced SQL knowledge and background in relational databases such as MS SQL Server, Oracle, MySQL, and PostgreSQL
• Understanding of landing, staging area, data cleansing, data profiling, data security and data architecture concepts (DWH, Data Lake, Delta Lake/Lakehouse, Datamart)
• Practical hands-on experience in developing Data Analytics/Visualization Solutions in Cloud environments (AWS, Azure, GCP) - designing, implementing, deploying, and monitoring
• Expertise in data products testing
• Ability to work in an agile development environment (SCRUM, Kanban)
• Understanding of CI/CD principles and best practices
• English level 6 Upper-Intermediate and higher
Company offers
• Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
• Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
• World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
• Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
• GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
• Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
• Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
• Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more
We are looking for a Senior Data Analytics and Visualization Engineer passionate about data to extend our team of professionals. In this role, you will work with clients from various business domains 6 Finance, Telecom, Media, Insurance, Oil&Gas, Pharma and others.
This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas.
• Build advanced-level dashboards and reports
• Communicate with the Product owner, gather requirements and conduct demo sessions
• Design and build data models, conduct data preparation and profiling
• Perform detailed analysis of business problems and technical environments
• Manage security and administrate the reporting environment
• Participate in architecture and testing processes to ensure they meet best practice specifications
Requirements
• 5+ years of practical experience with one of the reporting tools 6 Power BI, Tableau
• Programming languages: Python
• Proficiency in Data Analytics and Data Visualization concepts
• Skills in developing reports and dashboards
• Advanced SQL knowledge and background in relational databases such as MS SQL Server, Oracle, MySQL, and PostgreSQL
• Understanding of landing, staging area, data cleansing, data profiling, data security and data architecture concepts (DWH, Data Lake, Delta Lake/Lakehouse, Datamart)
• Practical hands-on experience in developing Data Analytics/Visualization Solutions in Cloud environments (AWS, Azure, GCP) - designing, implementing, deploying, and monitoring
• Expertise in data products testing
• Ability to work in an agile development environment (SCRUM, Kanban)
• Understanding of CI/CD principles and best practices
• English level 6 Upper-Intermediate and higher
Company offers
• Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
• Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
• World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
• Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
• GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
• Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
• Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
• Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more