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

• .
• 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.