Design, build, test, and maintain backend applications, APIs, and ETL/ELT data pipelines. Perform data transformation, validation, statistical analysis, and optimize code, queries, and pipelines. Troubleshoot production issues, collaborate with cross-functional teams, participate in code reviews, and document architectures and data workflows.
Hybrid Data & Application Developer – “Unicorn Profile”
Experience: 3–5 Years
Job Type: Full-Time
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.
- 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.
- 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.
Similar Jobs
39 Minutes Ago
Easy Apply
Easy Apply
Cloud • Information Technology • Security • Software
Leverage AI-assisted research and automation to outbound call, qualify, and book meetings with B2B decision-makers. Manage warm-bound outreach, recover no-shows, document qualification intel in CRM, and drive pipeline metrics (calls connected, meetings booked, qualification accuracy, and pipeline contribution).
Top Skills:
AIChilipiperGongNimbus Ai SdrQualifiedSalesforce
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
As an ML Engineer, you will design, experiment, and deploy AI/ML models, evaluate their performance, and leverage Python and SQL.
Top Skills:
PythonPyTorchScikit-LearnSQL
Financial Services
Review, verify, and report client data to ensure accuracy and AML/regulatory compliance. Prepare Currency Transaction Reports and compliance documentation, respond to operational requests, escalate issues, and support process improvements. Use digital tools to manage data, resolve service issues, and contribute to operational excellence.
Top Skills:
MainframeMS OfficePc-Based Systems
What you need to know about the Bengaluru Tech Scene
Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
