Job Opportunity: Data Observability Engineer
The role of a Data Observability Engineer is to ensure data accuracy, consistency and trustworthiness in driving business decisions. This involves collaborating with various stakeholders including data engineers, analysts, and business teams to monitor, improve and maintain data health while leveraging modern tools and automation where applicable.
The Data Observability Engineer will develop and implement data observability solutions to ensure high-quality, reliable, and well-monitored data pipelines. Key responsibilities include monitoring and detecting anomalies and inconsistencies, working closely with data teams to optimize pipelines and troubleshoot performance concerns, defining key metrics for data health, and maintaining comprehensive documentation.
Additionally, the Data Observability Engineer will leverage automation and AI-driven tools to enhance monitoring and anomaly detection. Proficiency in SQL and Python, as well as experience in cloud data platforms, are required for this role.
We offer a diverse and inclusive work environment that encourages continuous learning and development opportunities, flexible working modes, and competitive compensation packages.
* Key Skills: analytical and problem-solving skills, proficiency in SQL and Python, experience in cloud data platforms