Data Engineer

The role

You will build and maintain Python applications and data pipelines. The work includes writing SQL, integrating APIs and databases, and building ETL pipelines.

What you will do

• 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.

Required qualifications

• 3–5+ years of expertise in Python.
• Proficiency in Python frameworks and libraries such as Pandas, NumPy, and Scrapy.
• Experience with data visualization tools such as Power BI and 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's or Master's degree in Computer Science, Engineering, or a related field.

Benefits

• 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.

About the company

WIN was founded in 1993 and is a proptech company building software platforms and products for the real estate industry. The posting describes it as an Entrepreneur 500 company and one of the Fastest Growing Companies.