Job Description
About Company:
Data is one of the most valuable assets for enterprises. Applying our less-is-more mission, Ardent maximizes the privacy and security of data within an enterprise by minimizing data. By minimizing data, Ardent reduces your liability and business risk for privacy. Contact us to comply with privacy laws such as DPDPA, CCPA, GDPR, FISMA, PDPL, MODPA, PDPPL and more.
Eligibility Criteria:
- Qualification: BE/B.Tech/(CS/IT)/MCA/MCS.
- Pass out Year: 2023 / 2024 / 2025.
- Percentage Criteria: NA.
- Any Bond: No.
Package Details:
- Stipend During 6 Months of Internship Period: Rs. 10,000/- Per Month.
- Approx. Package after PPO: Rs 3,00,000/- to 4,00,000/-Per Annum (Based on Internship Performance).
- Approx Package (For Experience): Negotiable.
Roles & Responsibilities:
- Develop, enhance, and maintain Python-based applications using clean and efficient code.
- Write reusable, readable, and well-documented code following best practices.
- Work with relational (SQL) and NoSQL databases to manage, query, and optimize data.
- Apply Data Structures and Algorithms (DSA) for problem-solving and efficient programming.
- Use version control systems (Git) and participate in CI/CD pipelines for deployment.
- Collaborate with cross-functional teams in Agile environments to deliver features.
- Debug, test, and optimize applications for performance, scalability, and reliability.
- Participate in Software Development Life Cycle (SDLC) phases from requirements to deployment.
- Utilize tools like Docker and shell scripting to manage development environments.
- Continuously learn new technologies, take ownership of tasks, and deliver quality results.
Skills Required:
- Python programming and core concepts
- Data Structures and Algorithms (DSA)
- Version control systems (Git)
- SQL, query optimization, and relational databases
- NoSQL databases (MongoDB, Redis)
- CI/CD pipelines, Docker, and DevOps basics
- Linux and Windows environments with command-line skills
- SDLC, Agile methodologies, and ETL concepts
- Strong communication, teamwork, and problem-solving skills
- Self-motivation and effective use of AI tools and LLMs