Senior Data Engineer | Lead

Company Description Bisviews is the world’s leading platform for unbiased, scam-free reviews, committed to transparency and authenticity in online feedback. In a landscape crowded with fake and paid ratings, Bisviews focuses on verified reviews from real users across the globe. The platform covers a wide range of products, services, and experiences, enabling individuals and businesses to make informed decisions. By fostering a trusted community of reviewers, Bisviews is reshaping how people share and discover reliable insights online and driving a movement toward credibility in digital recommendations.
Role Description As a Senior Data Engineer at Bisviews, you will design, build, and maintain scalable data pipelines that power analytics, reporting, and product features across the platform. This full-time remote role involves developing robust ETL processes, optimizing data models, and managing data warehouses to ensure high-quality, reliable data for internal and external stakeholders. You will collaborate closely with data analysts, data scientists, and product teams to translate business requirements into efficient data solutions, enhance data quality, and support experimentation and growth initiatives. Day-to-day responsibilities include improving data infrastructure performance, monitoring and troubleshooting data workflows, implementing best practices for data governance, and contributing to the continuous evolution of Bisviews’ data architecture.
Qualifications

• Candidates should possess strong skills in Data Engineering and Data Warehousing to design, implement, and maintain scalable data infrastructures.
• Candidates should possess solid experience in Data Modeling and Extract Transform Load (ETL) processes to build efficient, reliable, and well-structured data pipelines.
• Candidates should possess proficiency in Data Analytics to support insight generation, experimentation, and data-driven decision-making.
• Candidates should possess expertise in SQL and at least one programming language commonly used in data engineering (such as Python or Scala).
• Candidates should possess experience with cloud data platforms and services (such as AWS, GCP, or Azure) and modern data warehousing tools.
• Candidates should possess knowledge of data governance, data quality frameworks, and best practices for security and compliance.
• Candidates should possess strong problem-solving skills, effective communication abilities, and the capacity to collaborate with cross-functional remote teams.
• Bachelor’s or master’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.