Senior Data Engineer focusing on data infrastructure for an AI - driven insurtech startup based in Nepal. Collaborating with teams to optimize data models and maintain data quality.
About the role
- Data Engineer optimizing data integrations for Retail industry. Combine multiple data sources and design ETL workflows while maintaining data quality and security.
Responsibilities
- Combine data from multiple sources such as APIs, databases, and third-party systems;
- Design and execute ETL/ELT workflows utilizing advanced data processing tools like Cloud Composer/Airflow, Dataflow;
- Develop robust and efficient data pipelines, implement processing logic, and perform data transformations;
- Enhance BigQuery queries and allocate resources effectively to minimize costs and boost performance;
- Maintain data quality, availability, and security by adhering to industry best practices.
Requirements
- Demonstrated experience as a Data or Software Engineer in Senior role
- Prior experience with dbt and Python is advantageous
- Familiarity with CI/CD systems like GitLab is required
- Experience with any public Cloud service
- Knowledge of Google Cloud and Cloud Data Warehousing is highly beneficial
- Specifically, experience with BigQuery or Snowflake and their integration with dbt is preferred. Additionally, proficiency with Terraform is strongly desired.
Benefits
- Diverse and technically challenging projects
- Training budget for professional and personal growth
- Flexible working hours and a hybrid workplace model
- Flexible schedule and Agile/SCRUM environment
- Technical equipment that you can choose.
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