Senior Data Engineer

Company Description DVK Analytics is a certified Sisense reseller and implementation partner that helps organizations transform how they build, use, and scale analytics. The team delivers next-generation Sisense solutions by combining expert BI consulting with in-house products such as advanced plugins, AI-driven features, and enhanced dashboard experiences. DVK Analytics supports enterprises across sectors including Retail, Renewable Energy, Healthcare, and E-commerce to modernize analytics, improve decision-making, and drive operational efficiency. By building scalable data models, designing impactful dashboards, and integrating AI for natural-language insights, the company empowers teams to move beyond traditional BI and unlock greater value from their data.
Role Description The Senior Data Engineer will design, build, and maintain scalable data pipelines and architectures to support advanced analytics and Sisense-based BI solutions. In this full-time remote role, the individual will work closely with analytics consultants, data analysts, and product teams to develop robust data models, optimize ETL processes, and ensure reliable data warehousing and reporting. Day-to-day responsibilities include implementing data integration workflows, improving data quality and performance, collaborating on dashboard-ready data structures, and supporting AI-driven analytics initiatives. The Senior Data Engineer will also contribute to best practices, documentation, and technical standards that enhance the overall data platform and client delivery.
Qualifications
Candidates should possess strong skills in Data Engineering and experience building scalable, production-grade data solutions.
Candidates should possess skills in Data Modeling and Data Warehousing for analytical and BI-focused environments.
Candidates should possess skills in Extract Transform Load (ETL) processes and tools for reliable data integration and transformation.
Candidates should possess skills in Data Analytics to support reporting, dashboard development, and insight generation.
Proficiency with SQL and at least one programming language commonly used in data engineering (e.g., Python, Java, or Scala).
Experience with cloud data platforms (e.g., AWS, Azure, or Google Cloud) and modern data pipeline/orchestration tools.
Hands-on experience with BI tools, ideally Sisense, and familiarity with designing data models for dashboards and self-service analytics.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.
Ability to work effectively in a remote, collaborative environment, with strong communication and problem-solving skills.

Work arrangement
Yes