Data Analyst

Summary

Join our team as a skilled Python Data Engineer and contribute to building high-performance applications and scalable data solutions. You will design, develop, and maintain robust Python-based applications, optimize data pipelines, and integrate various APIs and databases. This role demands strategic thinking, creativity, and a passion for data-driven decision-making. You will collaborate with cross-functional teams and ensure code quality, performance, and scalability. We offer a highly inclusive and collaborative culture with a strong emphasis on personal and professional development and the flexibility to work remotely or hybrid.

Requirements

• Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field
• 3–5+ years of hands-on experience as Data Engineer using Python
• 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 with an analytical mindset
• Excellent communication skills and the ability to work in a collaborative team environment

Responsibilities

• Develop, test, and maintain efficient Python applications
• Design, develop, and maintain ETL pipelines for efficient data extraction, transformation, and loading
• Implement and integrate APIs, web scraping techniques, and database queries to extract data from various sources
• Design and implement algorithms for data processing, transformation, and analysis
• Write optimized SQL queries and work with relational databases to manage and analyse large datasets
• 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

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