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Company Description Hypersoft Technologies Limited is a publicly traded software products and professional IT services company specializing in financial and business applications across diverse industries. The organization delivers cost-effective turnkey database, web, and Windows application development, supported by strong consultancy and custom software services. Hypersoft focuses on client/server development, legacy system conversion, online accounting, BPO operations, and VoIP-based call center solutions. The company also offers packaged solutions in areas such as stock broking, portfolio management, HR and payroll, medical and hospital management, supply chain, and e-retail. Hypersoft emphasizes long-term partnerships, reliability, and timely delivery of high-quality technology solutions.
Role Description This is a full-time, on-site Data Engineer role based in Bengaluru. The Data Engineer will design, build, and maintain scalable data pipelines to support business applications, analytics, and reporting across Hypersoft’s product and services portfolio. Responsibilities include implementing and optimizing ETL processes, developing and managing data models, and supporting data warehousing solutions for performance, reliability, and security. The role involves collaborating with software engineers, business analysts, and stakeholders to understand data needs, ensure data quality, and enable actionable insights. The Data Engineer will monitor data workflows, troubleshoot issues in production environments, document technical solutions, and recommend improvements to data architecture and tooling.
Qualifications
• 4+ years of experience as Data Engineer
Advanced proficiency in SQL for querying and manipulating data - experience with database design and optimization
• Strong programming skills in Python - experience with data processing libraries and frameworks.
• Expert in using Github, Github Actions
• Expertise in using Azure, Azure databricks, Pyspark, SQL, Azure Datafactory, Airflow.
Responsibilities
1 Design, build and deploy data architectures and pipelines
2 Create and maintain comprehensive documentation
3 Write quality code, and ability to adhere to the coding guidelines.
4 Pursue opportunities to improve delivery quality and efficiency
Work arrangement
No
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