Data Engineer

📋 Description

• Develop, test, and maintain efficient Python applications.
• Design, develop, and maintain ETL pipelines for data extraction.
• Implement APIs, web scraping, and DB queries to extract data.
• Design algorithms for data processing, transformation, and analysis.
• Write optimized SQL queries and work with relational DBs.
• Collaborate with cross-functional teams to deliver solutions.

🎯 Requirements

• Bachelor's or Master's in CS, Engineering, or related field.
• 3-5+ years of hands-on experience as Data Engineer using Python.
• Proficiency with Python libraries such as Pandas, NumPy, Scrapy.
• Experience with Power BI or Tableau.
• Strong understanding of relational databases and SQL.
• Experience working with cloud platforms such as AWS.

🎁 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.