Data Engineer

Company Description ZOLDO is a remote-first IT services and software development company based in Bengaluru, India, partnering with startups, enterprises, and growing businesses across India, the USA, UK, Canada, UAE, and other global regions. The organization delivers modern web applications, software solutions, mobile applications, and user-centric digital experiences with a strong focus on quality, security, scalability, and long-term reliability. ZOLDO’s expertise includes software development, web and mobile solutions, cloud services, quality assurance, and IT consulting, supporting clients through dependable and execution-focused technology partnerships. Alongside client delivery, ZOLDO invests in developing fresh tech talent through structured internships, hands-on project exposure, and guided learning paths. Its mission, “Empowering Fresh Talent. Transforming Technology.” reflects a commitment to building future-ready digital solutions while enabling clients and emerging professionals to grow together.
Role Description This is a full-time remote role for a Data Engineer at ZOLDO. The Data Engineer will design, build, and maintain data pipelines and ETL processes to support analytics, reporting, and product features across various client and internal projects. Responsibilities include developing and optimizing data models, implementing and managing data warehousing solutions, and ensuring data quality, integrity, and security. The role involves collaborating with software engineers, data analysts, and stakeholders to understand data needs, translate business requirements into technical solutions, and improve data infrastructure performance and scalability. The Data Engineer will also participate in code reviews, documentation, and continuous improvement of data engineering practices in a distributed, remote-first environment.
Qualifications
Strong foundation in Data Engineering, including building and maintaining scalable data pipelines and working with large datasets.
Experience with Data Modeling and Data Warehousing for analytical and operational workloads.
Hands-on expertise in Extract Transform Load (ETL) processes, tools, and frameworks for integrating data from multiple sources.
Capability in Data Analytics to support reporting, dashboarding, and data-driven decision-making.
Proficiency in SQL and at least one programming language commonly used in data engineering (e.g., Python, Java, or Scala).
Familiarity with cloud data platforms and services (e.g., AWS, Azure, or GCP) and modern data stack tools is advantageous.
Understanding of data security, compliance, and best practices for reliable, production-grade data systems.
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
Ability to work effectively in a fully remote, distributed team, with strong communication and collaboration skills.

Work arrangement
Yes