Remote Python Developer - Data Engineering

Description:

• Design, develop, and maintain scalable and efficient data pipelines
• Implement ETL/ELT processes to collect, transform, and load data from various sources into data warehouses and data lakes
• Collaborate with solution architects and other developers to optimize data models and schemas for performance and scalability
• Develop and maintain data storage solutions, including databases, data warehouses, and data lakes
• Ensure data quality, consistency, and reliability through validation, cleansing, and monitoring processes
• Optimize data workflows and processes for performance, scalability, and cost-efficiency
• Design, develop, and maintain scalable, robust, and high-performance applications using Python
• Gather and analyze requirements, translating them into technical specifications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Test and debug applications to ensure functionality and performance
• Participate in code reviews to maintain code quality
• Collaborate with client data teams and analysts to deliver solutions
• Stay updated with industry trends, tools, and technologies in data engineering and Python development

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or a related field
• Proven experience as a Python Developer focusing on data engineering
• Strong proficiency in Python and relevant libraries
• Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, ElasticSearch)
• Experience with ETL tools and frameworks
• Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS)
• Knowledge of data modeling, data warehousing, and data lake architectures
• Experience with version control systems (e.g., Git) and CI/CD pipelines
• Strong problem-solving skills and ability to work independently and collaboratively
• Excellent communication and teamwork skills

Preferred Skills:

• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
• Familiarity with machine learning and data science concepts
• Professional certifications such as Certified Data Management Professional (CDMP), AWS Certified Big Data, or Google Certified Professional Data Engineer will strengthen the application

Benefits:

• Aretum is an equal opportunity employer, committed to diversity and inclusion
• All qualified candidates will receive equal consideration for employment without regard to disability, race, color, religious creed, national origin, sexual orientation/gender identity, or age
• Aretum utilizes e-Verify to check employment authorization
• EEO/AA/F/M/Vet/Disabled