Data Engineer

Company Description  Suviratech Pvt Ltd is a technology-focused organization that builds data-driven solutions to support business decision-making and operational efficiency. The company emphasizes modern engineering practices, scalable architectures, and reliable data platforms. Team members collaborate closely with product and business stakeholders to design and implement solutions that are practical, robust, and secure. Suviratech offers opportunities to work with contemporary tools and frameworks while contributing to impactful projects in a dynamic environment.

Role Description  This is a full-time, on-site Data Engineer role based in Hyderabad. The Data Engineer will design, build, and maintain scalable data pipelines, ensuring efficient extraction, transformation, and loading of data from multiple sources into centralized data platforms. The role involves modeling and organizing data to support reporting, analytics, and business intelligence needs, as well as maintaining data quality, security, and performance.

The Data Engineer will collaborate with data analysts, data scientists, and software engineers to understand requirements, optimize data workflows, and support the development of dashboards and analytical tools. Responsibilities also include monitoring data infrastructure, troubleshooting issues, and contributing to continuous improvement of data engineering practices and standards.
Qualifications
Strong Data Engineering skills, including experience building and maintaining data pipelines and working with large-scale data processing frameworks.
Proficiency in Data Modeling and Data Warehousing to design schemas and structures that support reporting and analytics.
Hands-on experience with Extract Transform Load (ETL) processes, including tools and workflows for integrating data from diverse sources.
Capability in Data Analytics, with the ability to translate business requirements into data solutions and support analytical reporting.

Experience with SQL and at least one programming language commonly used in data engineering (such as Python, Java, or Scala).
Familiarity with cloud data platforms and services (e.g., AWS, Azure, or GCP) and modern data stack tools is beneficial.
Understanding of data governance, data quality, and security best practices.
Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
Ability to work collaboratively in cross-functional teams, communicate technical concepts clearly, and manage priorities in a fast-paced environment.