Our software team is growing, and we are looking for a data engineer to be entrusted with designing, building, and optimizing large-scale data pipelines in both on-premise and cloud environments. 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.
*This role is fully onsite*
A solid experience with SQL and other databases
Collaborating with the data team and stakeholders
Manage and set up visualization tools
Monitoring and logging frameworks such as Grafana, Prometheus, Kibana and Elastic
Manage and design ETL processes, data cleansing, transformation, and integration
Work closely with our ML/AI teams
Proficiency in tools like Jenkins and Airflow
Bachelor's/Master's degree in Computer Science, Engineering or a related field
5+ years of proven experience as a Data Engineer or similar role in a startup or 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
Excellent problem-solving skills, analytical mindset, and attention to detail
Strong communication and collaboration skills
"*" indicates required fields