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EPAM Systems

Open 95d

Senior Data Analytics and Visualization Engineer

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We are looking for a Senior Data Analytics and Visualization Engineer to design and implement advanced data solutions that drive informed decision-making. You will collaborate with product and engineering teams and contribute to high-quality technical solutions in a fast-paced agile environment. Join us to apply your expertise and advance your career in a dynamic setting.

Responsibilities

  • Design and implement production-ready Data Analytics and Visualization solutions using classic and cloud-based technologies
  • Collaborate with product and engineering teams to understand requirements and evaluate features
  • Build partnerships with architects and key stakeholders across functional groups
  • Perform detailed analysis of business problems and technical environments to design solutions
  • Participate actively in code review and testing to ensure adherence to best practices
  • Supervise and provide technical leadership to junior and middle team members
  • Write and maintain comprehensive project documentation

Requirements

  • Extensive development experience (over 3 years) in end-to-end Data Analytics Solutions with classic and modern cloud data technologies
  • Production experience in Data Analytics, Data Visualization, Data Security, Data Modelling, and similar areas
  • Experience building data provisioning and transformation pipelines (ETL/ELT), Data Warehouse, and Database design for on-premises and cloud environments
  • Experience with data modeling and understanding of Data Architecture Layers including multi-source management and data cleansing
  • Advanced SQL knowledge, including analytical functions, MODEL, and PIVOT
  • Understanding of advanced data security principles such as audit, RLS, VPD, and attribute-level security
  • Practical experience developing Data Analytics/Visualization Solutions in Cloud environments (AWS, Azure, GCP)
  • Solid understanding of core cloud technologies and awareness of niche cloud services
  • Proven experience in data solutions troubleshooting, monitoring, performance tuning, and bottleneck analysis
  • Good understanding of CI/CD principles and deployment models like Canary release and Blue-Green
  • Data-oriented mindset with strong compliance awareness (PI, GDPR, HIPAA)
  • Ability to work effectively in a fast-paced, startup-like agile development environment
  • Analytical problem-solving skills with excellent interpersonal and communication abilities
  • Experience in direct client communications
  • Experience across different business domains
  • English proficiency at B2 level or higher

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

Skills

What Senior Data Analytics jobs ask for — and how much of it you have →
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See also

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