Senior Data Engineer

📋 Description

• Develop, test, and maintain efficient Python applications.
• Write optimized SQL queries and manage large datasets.
• Integrate APIs, web scraping, and database queries to extract data.
• Design, develop, and maintain ETL pipelines for data extraction.
• Collaborate with cross-functional teams to deliver solutions.
• Ensure code quality, performance, and scalability through best practices.

🎯 Requirements

• 3–5+ years of Python expertise.
• Pandas, NumPy, Scrapy in Python.
• Power BI and Tableau for data visualization.
• Strong understanding of relational databases and SQL.
• Experience working with cloud platforms such as AWS.
• Strong problem-solving and collaboration skills.

🎁 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.