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About
As a Data Engineer (Python), you will design and maintain scalable data pipelines that facilitate the seamless flow of information from diverse sources into cloud platforms. You will act as a link between raw data and actionable insights, ensuring that datasets are clean, reliable, and optimized for high-performance processing. What You'll Do:
Design, build, and optimize robust ETL pipelines using Python to automate data collection and transformation. Implement scalable data processing solutions on cloud infrastructure, specifically AWS, to handle large-scale datasets. Develop efficient SQL queries and data models to ensure data integrity and high accessibility for stakeholders. Maintain and troubleshoot existing data workflows, improving performance, reliability, and cost-efficiency. Collaborate with analysts and data scientists to provide well-structured datasets that support advanced analytics and business intelligence. What we are looking for:
4+ years of experience in Data Engineering or Software Engineering. Proven expertise in building and maintaining data pipelines using Python. Strong proficiency in SQL for data extraction, transformation, and modeling. Hands-on experience with cloud platforms, specifically AWS, and ETL processes. Deep understanding of scalable data processing and integration strategies. Advanced proficiency in English. How we do make your work (and your life) easier:
100% remote work (from anywhere). Excellent compensation in USD or your local currency if preferred. Hardware and software setup for you to work from home. Flexible hours: create your own schedule. Paid parental leave, vacations, and holidays. Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent. Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Apply now and become part of a global team where your unique talents can truly thrive!
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Languages
- English
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