Company Description 9Sprints is an integrated technology services firm that helps organizations scale through custom software engineering, program governance, practical AI automation, and IT talent solutions. The company focuses on building scalable digital products, recovering delayed initiatives, and assembling specialized technical teams that accelerate launches. 9Sprints partners with clients to deliver measurable business outcomes, emphasizing reliability, performance, and innovation. Team members work in a cooperative environment where modern engineering practices and data-driven decision-making are central to how solutions are designed and delivered. Role Description This is a full-time, hybrid Data Engineer role based in Hyderabad, with flexibility for partial work from home. The Data Engineer will design, build, and maintain data pipelines and ETL processes that collect, transform, and load data from multiple sources into data warehouses and other storage systems. Daily responsibilities include modeling data structures, optimizing queries, ensuring data quality and integrity, and collaborating with software engineers, data analysts, and business stakeholders to support reporting and analytics needs. The role involves monitoring data workflows, troubleshooting performance issues, documenting data solutions,



and contributing to continuous improvement of the data platform. The Data Engineer will also help evaluate new tools and technologies to enhance scalability, security, and reliability of data infrastructure. Qualifications
• Candidates should possess strong skills in Data Engineering and Extract Transform Load (ETL) processes.
• Candidates should possess strong skills in Data Modeling and Data Warehousing.
• Candidates should possess strong skills in Data Analytics and working with analytical tools or platforms.
• Proficiency in SQL and experience with at least one programming language commonly used in data engineering (such as Python or Java).
• Experience with modern data platforms or cloud services (such as AWS, Azure, or GCP) and related data tools.
• Knowledge of data governance, data quality best practices, and performance optimization for large datasets.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
• Ability to work effectively in a hybrid environment, communicate clearly with cross-functional teams, and manage multiple priorities. Share

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📌 Data Engineer (Hyderabad)
🏢 9Sprints
📍 Hyderabad