Algotale (Wildnet)- Hybrid Data & Application Developer

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 . 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.