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.