Data Systems Architect
1 month ago
We are seeking a highly skilled Staff Data Engineer to help us create seamless shopping experiences through our vast global network, community engagement, and advanced enterprise technology.
This role focuses on enabling brands and retailers to gather, analyze, and act on valuable user-generated content at a massive scale.
Key Responsibilities:- Design, build, and maintain large-scale, distributed data systems that support our infrastructure and services.
- Develop data pipelines, optimize data storage and retrieval processes, and ensure the reliability and scalability of the data architecture.
- Collaborate closely with cross-functional teams to understand data needs and provide technical solutions.
- Implement and advocate for software engineering best practices to ensure maintainable and efficient data systems.
- Play a key role in troubleshooting issues, continuously improving processes, and shaping the future of data-driven decision-making.
Requirements:
- Bachelor's degree in Computer Science or a related field.
- ~7+ years of experience building robust, scalable, distributed data systems using open-source and public cloud technologies.
- ~ Expertise with data orchestration tools such as Apache Airflow or Dagster.
- ~ Proficiency in big data storage and processing technologies such as DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, PostgreSQL/MySQL.
- ~ Experience with public cloud platforms like AWS, GCP, or Azure, and infrastructure as code tools like Terraform.
- ~ Solid grasp of software engineering practices including CI/CD, agile development, and version control systems like Git.
- ~ Passion for staying up-to-date with emerging data technologies and trends.
We value diverse perspectives and believe that fostering an inclusive culture enhances creativity and performance.
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