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.