September 11
• Lead a greenfield data migration project from concept to execution. • Partner with Engineering and Product teams on high-impact initiatives. • Design and implement robust data pipelines using AWS services. • Enhance event collection, queueing, and processing mechanisms. • Drive the next phase of our data lake development, optimizing for scalability. • Build and refine meaningful alerts with automated corrective actions. • Troubleshoot and resolve issues, ensuring system reliability and stability. • Architect scalable data products with long-term vision and efficiency in mind. • Identify and resolve complex technical challenges involving system integration, infrastructure, and software bugs.
• 4+ years of professional experience in data engineering. • Strong SQL skills with an advanced understanding of relational data models. • Proficiency in Python or Java for data processing. • Experience with version control systems like Git. • Proven track record of leading projects or initiatives. • Solid understanding of cloud infrastructure, with hands-on experience in AWS services. • Familiarity with data monitoring tools like Datadog or PagerDuty. • Experience working with large-scale data warehouses like Redshift, Snowflake, or BigQuery. • Commitment to writing clean, efficient, and maintainable code. • Team player who values diversity and collaboration. • Experience interacting with RESTful APIs and webhooks. • Familiarity with Kafka or other messaging systems is a plus. • Experience with DevOps tools like Terraform is a bonus.
• Remote-first culture • In-person events throughout the year for bonding and celebrations!
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