Website:
hypersoftindia.com
Job details:
Company Description
Hypersoft Technologies Limited is a publicly traded company specializing in software products and professional IT services. With expertise across Client/Server development, turnkey database applications, and rapid application development, Hypersoft delivers tailored solutions to diverse industries such as financial services, manufacturing, retail, and healthcare. The company is recognized for its commitment to building reliable, long-term partnerships with clients by providing cost-effective, efficient, and high-quality solutions. In addition to serving various market segments, Hypersoft offers packaged software solutions in areas like human resource management, supply chain management, and portfolio management. Based in India, Hypersoft takes pride in its dynamic development and support teams that bring innovative software initiatives to life.
Role Description
We are seeking a Data Engineer for a full-time hybrid role based in Hyderabad, with flexibility for some remote work. The Data Engineer will be responsible for designing, implementing, and managing data solutions that meet business needs. Day-to-day tasks include building and maintaining data pipelines, working on Extract, Transform, Load (ETL) processes, developing data models, and supporting data analytics and reporting initiatives. You will collaborate closely with cross-functional teams to ensure streamlined data workflows and scalability for growing organizational needs.
Qualifications
- 4+ years working proficiency in Data Engineering, including designing and maintaining complex data pipelines.
- Experience in Data Modeling and Data Warehousing for efficient data storage and retrieval.
- Strong expertise in Extract, Transform, Load (ETL) concepts and tools to manage data processing workflows.
- Skills in Data Analytics for extracting insights and generating reports to drive decision-making.
- Experience with programming languages such as Python, SQL, or Java.
- Knowledge of cloud data platforms (e.g., Azure, AWS, or Google Cloud) and big data technologies is advantageous.
- Bachelor’s degree in Computer Science, Information Technology, or a related field; advanced degrees or certifications are a plus.
- Strong problem-solving abilities and effective communication skills.
- Must have experience with Airflow, PYspark, Python, Databricks.
- Ability to work collaboratively in a hybrid work environment.
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