Insurance
We’re looking for a Junior Data Engineer to join a growing data team within the insurance industry. This is a great opportunity for someone with a solid foundation in data engineering who wants to work with modern cloud technologies and contribute to building reliable data pipelines.
Responsibilities
- Develop and maintain data pipelines and ETL/ELT workflows.
- Work with structured and semi-structured data from multiple sources.
- Support data integration, transformation, and validation processes.
- Monitor and troubleshoot data pipelines to ensure reliability.
- Collaborate with Data Engineers, Analysts, and Software Developers.
- Help improve data quality, performance, and documentation.
Requirements
- 1-3 years of experience in Data Engineering or a similar role.
- Good knowledge of Python.
- Experience with Apache Airflow for workflow orchestration.
- Experience working with Snowflake.
- Understanding of Apache Kafka or other streaming technologies.
- Good SQL skills.
- Familiarity with Git and CI/CD practices.
- Strong problem-solving skills and willingness to learn.
Nice to Have
- Experience with cloud platforms (AWS, Azure, or GCP).
- Knowledge of Docker or Kubernetes.
- Exposure to data warehousing concepts.
- Experience with monitoring and logging tools.