Source description
About the role
Bachelor’s or Master’s degree in Computer Science or a related field
5+ years of backend software engineering experience in enterprise environments, with a focus on reporting, analytics, and data-driven features such as data export and insights
Expertise in Systems Design with proven ability to design complex, distributed systems at scale, with attention to performance, scalability, and fault tolerance
Strong understanding of analytics fundamentals, including dimensional data modeling, data transformation, and data visualization best practices
Experience with cloud platforms (GCP, AWS, or Azure) and cloud-based data warehousing (preferably Google BigQuery)
Proficient in server-side programming languages such as Python, PHP, or Go
Solid experience with relational and NoSQL databases (e.g., MySQL, MongoDB), including schema design, data modeling, and performance tuning
Familiarity with streaming or near real-time data ingestion technologies (e.g., Kafka, Pub/Sub)
Strong understanding of RESTful API design and integration with BI and analytics tools (e.g., Looker, Tableau, Power BI)
Proficient with data serialization formats such as JSON, CSV
Knowledge of data privacy, security, and governance best practices
Experience with agile software development methodologies (e.g., Scrum, Kanban)
Ability to lead technical discussions, mentor junior engineers, and collaborate effectively with cross-functional teams
Strong analytical and problem-solving skills with attention to detail and code quality
Proactive in exploring and adopting new technologies, frameworks, and APIs
Excellent verbal and written communication skills in English
Experience integrating applications with AI/ML systems is a plus
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