Data Engineer

Posted: 2025-11-11

- Develop, test, and maintain efficient Python applications.

- Write optimized SQL queries and work with relational databases to manage and analyse large datasets.

- Implement and integrate APIs, web scraping techniques, and database queries to extract data from various sources.

- Design, develop, and maintain ETL pipelines for efficient data extraction, transformation, and loading.

- Collaborate with cross-functional teams to understand technical requirements and deliver high-quality solutions.

- Ensure code quality, performance, and scalability through best practices and code reviews.

- Stay updated with the latest advancements in Python, data engineering, and backend development.

- 3–5+ years of expertise in Python is a must have.

- Proficiency in Python frameworks and libraries such as Pandas, NumPy, and Scrapy.

- Experience with Data Visualization tools such as Power BI, Tableau

- Strong understanding of relational databases and SQL.

- Experience working with cloud platforms such as AWS

- Strong problem-solving skills and the ability to work in a collaborative team environment.

- Bachelor / Master degree in Computer Science, Engineering, or a related field.

WHY JOIN US?

- Highly inclusive and collaborative culture built on mutual respect.

- Focus on core values, initiative, leadership, and adaptability.

- Strong emphasis on personal and professional development.

- Flexibility to work remotely and/or hybrid indefinitely.