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Hybrid Data & Application Developer – “Unicorn Profile” Experience: 3–5 Years Job Type: Full-Time Job Summary We are looking for a versatile Hybrid Data & Application Developer who can work across both application development and data engineering . The ideal candidate should have strong hands-on experience with Java/JavaScript, Python, and ETL , along with exposure to statistical analysis, data/application optimization, and database technologies . This role is suited for a “ Unicorn ” profile — someone who can develop application components while also understanding and working with data pipelines, data transformation, and analytics. Key Responsibilities • Design, develop, test, and maintain scalable applications and data solutions . • Develop backend applications, services, and APIs using Java and/or Python . • Build and enhance application components using JavaScript . • Design, develop, and maintain ETL/ELT pipelines for data extraction, transformation, and loading. • Integrate applications with databases, APIs, data platforms, and ETL workflows. • Perform data transformation, validation, cleansing, and processing using Python and other relevant technologies. • Analyze application and data-processing workflows to identify performance bottlenecks. • Perform code, query, application, and data-pipeline optimization to improve performance and scalability. • Apply statistical analysis techniques to support data-driven solutions and business requirements. • Develop and optimize SQL queries and database interactions. • Troubleshoot application, data pipeline, and production issues. • Collaborate with data engineers, developers, analysts, product teams, and other stakeholders. • Participate in code reviews and follow best practices for application development, data engineering, security, and maintainability. • Document application architecture, data workflows, technical solutions, and processes. Required Skills & Experience • 3–5 years of relevant professional experience in application development, data engineering, or a combination of both. • Strong hands-on experience with: • Java / JavaScript • Python • ETL / ELT • Strong understanding of application development and software engineering concepts. • Experience developing REST APIs and backend services . • Experience working with databases and writing/optimizing SQL queries . • Hands-on experience with data extraction, transformation, validation, and loading. • Understanding of statistical analysis and its application to real-world data problems. • Experience with application and data optimization , including performance tuning and code/query optimization. • Strong debugging, analytical, and problem-solving skills. • Ability to work across both application and data-related requirements . Preferred Skills • SAS experience is an added advantage. • Experience with frameworks such as Spring/Spring Boot, Django, Flask, or FastAPI . • Experience with JavaScript frameworks such as React, Angular, or Node.js . • Experience with cloud platforms such as AWS, Azure, or GCP . • Exposure to data engineering technologies such as PySpark, Databricks, Airflow, Azure Data Factory, AWS Glue , or similar tools. • Experience with data warehousing and data modeling. • Familiarity with CI/CD, Docker, Kubernetes, or other DevOps practices.