About the Role
Quora is hiring a full-time Software Engineer - Data Infrastructure to join our innovative team. This Software Engineer remote position allows you to work from anywhere, contributing to our mission of sharing and growing the world's knowledge. As a part of our data infrastructure team, you will play a crucial role in building and maintaining the systems that support our vast data needs.
What You'll Do
- Design and implement scalable data infrastructure solutions that support Quora's data-driven initiatives.
- Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications.
- Optimize data pipelines for performance and reliability, ensuring high availability of data services.
- Monitor and troubleshoot data infrastructure issues, providing timely resolutions to maintain service levels.
- Stay up-to-date with industry trends and best practices in data engineering and infrastructure.
Requirements
- 3+ years of experience as a Software Engineer, with a focus on data infrastructure.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with data storage solutions like SQL, NoSQL, and data warehousing technologies.
- Strong understanding of data modeling, ETL processes, and data pipeline architecture.
- Excellent problem-solving skills and the ability to work independently in a remote environment.
Nice to Have
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
- Experience with big data technologies like Hadoop, Spark, or Kafka.
- Knowledge of data governance and compliance standards.
What We Offer
- Competitive salary ranging from $97,600 to $139,000, based on experience.
- Flexible remote work environment that promotes work-life balance.
- Comprehensive health benefits, including medical, dental, and vision coverage.
- Generous paid time off and holiday schedule.
- Opportunities for professional development and growth within the company.
This remote Software Engineer position at Quora offers a competitive salary and the opportunity to work on innovative data infrastructure projects.
Who Will Succeed Here
Proficient in Python and SQL with hands-on experience in ETL processes, capable of designing efficient data pipelines for large-scale data processing.
Self-motivated and disciplined for remote work, demonstrating strong time management skills to meet project deadlines without direct supervision.
Analytical mindset with a focus on problem-solving, able to leverage technologies like Hadoop and Spark to optimize data storage and retrieval.
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