Python Data Engineer

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.
• REQUIRED QUALIFICATIONS:
• 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.
• WHY JOIN US?
• 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 WIN:
• OUR CULTURE:
• #LI-REMOTE

Benefits

Additional Information

ABOUT THE PYTHON DATA ENGINEER ROLE: We are looking for a skilled Python Data Engineer to join our team and work on building high-performance applications and scalable data solutions. In this role, you will be responsible for designing, developing, and maintaining robust Python-based applications, optimizing data pipelines, and integrating various APIs and databases. This is more than just a coding role-it requires strategic thinking, creativity, and a passion for data-driven decision-making to drive results and innovation.

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Company Intel

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