ETL Data Engineer

Company Description Hypersoft Technologies Limited is a publicly traded software products and professional IT services company specializing in financial and business applications, consultancy, and custom software development across multiple platforms. The organization focuses on client/server development, turnkey database applications, and rapid web and Windows application development, supported by experienced development and support teams. Hypersoft delivers cost-effective, high-quality solutions for sectors such as securities management, manufacturing, ERP, BPO, and online accounting, along with VoIP-based call center solutions. The company also offers packaged solutions for areas including stock broking, portfolio management, HR and payroll, medical and hospital management, and supply chain management. Hypersoft values long-term relationships, emphasizing responsiveness, reliability, and partnership with customers.
Role Description This is a full-time ETL Data Engineer role based in Bengaluru, structured as a hybrid position that combines on-site work with some work-from-home flexibility. The ETL Data Engineer will design, build, and maintain robust ETL pipelines to integrate data from multiple source systems into centralized data warehouses and analytics platforms. Daily responsibilities include developing and optimizing data models, ensuring data quality and integrity, monitoring data workflows, and troubleshooting performance and reliability issues. The role involves collaborating with software engineers, business analysts, and stakeholders to understand data requirements, translate them into technical specifications, and support reporting and analytics needs. The ETL Data Engineer will also contribute to documentation, implement best practices for data governance and security, and support continuous improvement of data engineering processes.
Qualifications
5+ years of experience with strong exposure in Databricks, Python, Pyspark and SQL.
Experience with ETL/Datastgae/Hadoop/POwerBI or any BI tool will be helpful.
Strong data engineering skills, including experience with building and maintaining data pipelines, scripting, and working with large datasets.
Proficiency in data modeling and data warehousing concepts, with the ability to design scalable, optimized schemas for analytics and reporting.
Hands-on experience with Extract Transform Load (ETL) tools and frameworks, including developing, scheduling, and monitoring ETL workflows.
Background in data analytics, with the ability to interpret data, support BI and reporting needs, and collaborate with analytics teams.
Experience with SQL and at least one programming language commonly used in data engineering (such as Python or Java).
Familiarity with relational databases and, preferably, modern data platforms or cloud services.
Understanding of data governance, data security, and best practices for handling sensitive and business-critical information.
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.
Experience in financial services, manufacturing, or enterprise business applications is an advantage

Work arrangement
Hybrid