We are looking for enthusiastic and motivated Data Engineer who are passionate about data, analytics, and cloud technologies. This is an excellent opportunity to work with experienced engineers and build real-world data pipelines and AI-driven applications.
Key Responsibilities
- Build, maintain, and optimize ETL/ELT data pipelines and data linkings.
- Collect, clean, transform, and validate structured and unstructured data.
- Develop Python scripts for data processing and automation.
- Write efficient SQL queries for data extraction and analysis.
- Work with relational and NoSQL databases.
- Assist in designing scalable data models and data warehouses.
- Integrate data from APIs and third-party platforms.
- Support cloud-based data processing using AWS services.
- Monitor data quality, performance, and pipeline reliability.
- Collaborate with software engineers, AI engineers, and business teams to deliver high-quality data solutions.
- Maintain documentation for data workflows and processes.
Required Skills
- Good understanding of SQL, Python and database concepts.
- Knowledge of data structures and algorithms.
- Basic understanding of ETL processes.
- Familiarity with relational databases such as PostgreSQL or MySQL.
- Basic understanding of NoSQL databases such as MongoDB.
- Understanding of APIs and JSON.
- Knowledge of Git or GitHub.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork skills.
- Willingness to learn new technologies.
Preferred Skills
- Exposure to AWS, Azure, or Google Cloud Platform.
- Familiarity with Docker.
- Basic understanding of data warehousing concepts.
- Knowledge of Power BI, Tableau, or other visualization tools.
- Experience with personal, academic, or internship projects involving data engineering.
Eligibility
- Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field.
- 2024, 2025, or 2026 graduates are encouraged to apply.
- Internship or academic project experience in Python, SQL, or data engineering is an advantage.
What You'll Gain
- Work on real-world AI and data engineering projects.
- Hands-on experience with cloud platforms and modern data technologies.
- Mentorship from experienced engineers.
- Career growth in Data Engineering, AI, and Cloud Computing.
- Opportunity to work on scalable products used by real customers.
Why Join Snaphomz?
- AI-first product company with cutting-edge technology.
- Learning-focused and collaborative work culture.
- Exposure to cloud, big data, and AI technologies.
- Ownership of impactful projects from day one.
- Fast career growth based on performance.
Pay: ₹200,000.00 - ₹400,000.00 per year
Work Location: In person
