Description

Responsibilities:

• Develop, test, debug, and maintain software applications and services under the guidance of senior engineers.
• Participate in user story analysis, sprint planning, and design discussions to understand business and technical requirements.
• Write clean, maintainable, and well-documented code following established engineering standards and best practices.
• Assist in developing RESTful APIs, microservices, and application components using modern development frameworks and tools.
• Participate in code reviews, unit testing, integration testing, and defect resolution to ensure high-quality software delivery.
• Collaborate with cross-functional teams, including Product, QA, and Engineering, to deliver features and enhancements in an Agile environment.
• Support the automation of testing, deployment, and operational processes to improve development efficiency.
• Troubleshoot and resolve application issues under the guidance of senior team members.
• Learn and adopt new technologies, development frameworks, and engineering best practices to continuously improve technical skills.
• Contribute to technical documentation, knowledge sharing, and team collaboration to support ongoing development activities.

Qualifications:

• 6 months + years of software development experience.
• Basic knowledge of cloud platforms such as Google Cloud Platform (Google Cloud Platform), AWS, or Azure, with exposure to services such as Google Cloud Storage and BigQuery.
• Familiarity with Big Data technologies such as Spark, Scala, Hive, or SQL.
• Basic understanding of ETL (Extract, Transform, Load) concepts, data modeling, and data processing techniques.
• Exposure to relational and/or NoSQL databases and SQL programming.
• Familiarity with Agile software development methodologies and the Software Development Life Cycle (SDLC).
• Basic understanding of Continuous Integration and Continuous Delivery (CI/CD) concepts and tools such as Git, Jenkins, Maven, or similar technologies.
• Working knowledge of version control systems (Git) and build automation tools.
• Basic understanding of web technologies (HTTP, REST APIs) and familiarity with Linux/Unix environments.
• Strong understanding of programming fundamentals, data structures, algorithms, and object-oriented programming concepts.
• Strong analytical, problem-solving, and debugging skills.
• Excellent verbal and written communication skills, with the ability to work effectively in a collaborative team environment.
• Demonstrated curiosity, learning agility, and a proactive mindset toward continuous learning and process improvement.
• Good to Have: Basic knowledge of Power BI for developing reports, dashboards, and data visualizations.
• Familiarity with creating simple data models, metrics, and KPIs to support reporting and business analytics.
• Working knowledge of DAX, Power Query, and SQL, with the ability to develop interactive reports and perform basic data analysis.
• Understanding of data modeling concepts and exposure to tabular models or semantic models through academic projects, internships, or professional experience.
• Basic troubleshooting and debugging skills for BI reports, datasets, and dashboards.
• Familiarity with BI concepts, metadata management, and data governance principles.
• Exposure to data visualization best practices and the ability to present insights in a clear and meaningful manner.
• Strong analytical skills with an interest in leveraging data to support business decision-making.
• Eagerness to learn modern BI technologies and continuously improve technical and analytical skills

Key Skills

Education

Any Graduate