Python Data Engineer

Overview

Design, develop, and maintain Python-based data pipelines and applications.

Key Responsibilities

• python development
• etl pipelines
• api integration
• web scraping
• sql queries
• data engineering

Tasks

-Stay updated with the latest advancements in Python, data engineering, and backend development. -Collaborate with cross-functional teams to understand technical requirements and deliver high-quality solutions. -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. -Develop, test, and maintain efficient Python applications. -Ensure code quality, performance, and scalability through best practices and code reviews. -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.

Requirements

• python
• aws
• power bi
• tableau
• sql
• bachelor's

What You Bring

-3–5+ years of hands-on experience as Data Engineer using Python -Experience working with cloud platforms such as AWS -Experience with Data Visualization tools such as Power BI, Tableau -Strong understanding of relational databases and SQL. -Strong problem-solving skills with an analytical mindset. -Proficiency in Python frameworks and libraries such as Pandas, NumPy, and Scrapy. -Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field. -Excellent communication skills and the ability to work in a collaborative team environment.

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Benefits

-Highly inclusive and collaborative culture built on mutual respect. -Flexibility to work remotely and/or hybrid indefinitely.

About Win Home Inspection

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