About the job
At DeepLight AI, we are a premier artificial intelligence and data consultancy, dedicated to transforming enterprises through intelligent systems across diverse sectors, particularly in financial services and banking. Our team merges profound expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with an intricate understanding of complex business operations.
As a DataOps Engineer, you will oversee our cutting-edge Lakehouse environment, ensuring the reliability, transparency, and high performance of our intricate data ecosystem. This pivotal role bridges Data Engineering and Operations, where you will take the lead in monitoring and swiftly addressing incidents for mission-critical data pipelines, including AWS Glue, dbt, and Kafka.
This position offers high visibility, allowing you to manage the full lifecycle of incident response, drive in-depth root cause analysis (RCA), and collaborate with development teams to implement lasting automated solutions. Whether you're managing real-time operational dashboards or conducting daily health reviews of the platform, your primary goal will be to ensure data freshness and platform integrity, turning operational stability into a competitive advantage for our data-driven decision-making.
