Your role will encompass the management and storage of binary and tabular data, integration and collaboration with our AI/ML teams and stable large scale ETL pipelines. We value agility, so staying updated and adaptable to our evolving tech stack is inherent to the role.
Responsibilities
Manage and design ETL processes, data cleansing, transformation, and integration.
Work closely with our ML/AI teams.
Apply solid expertise in SQL and other databases to support data operations.
Collaborate with the data team and stakeholders to align on requirements and deliverables.
Manage and set up visualization tools to enable data-driven decision making.
Monitor and maintain logging frameworks such as Grafana, Prometheus, Kibana, and Elasti.
Minimum Qualifications
Bachelor's/Master's degree in Computer Science, Engineering or a related field.
5+ years of proven experience as a Software/Backend/Data Engineer or similar role in a fast-paced environment.
Strong proficiency in Python.
Expertise in SQL and familiarity with other database systems.
Hands-on experience with data visualization tools.
Proficiency with monitoring and logging tools.
Experience with data flow and CI/CD frameworks.
Understanding of object storage solutions and best practices for binary data.
Preferred Qualifications
Excellent problem-solving skills, analytical mindset, and attention to detail.
Strong communication and collaboration skills.
