Data Engineer

Qualifications:

- BS in computer science or a related field.

- 5+ years of experience in data engineering or related field.

- Demonstrated system-design experience orchestrating ELT processes targeting data

- Hands-on experience with at least one streaming or batch processing framework, such as Flink or Spark.

- Hands-on experience with containerization platforms such as Docker and container orchestration tools like Kubernetes.

- Proficiency in AWS service stack.

- Familiarity with workflow orchestration tools such as Airflow.

- Experience with DBT, Kafka, Jenkins and Snowflake.

- Experience leveraging tools such as Kustomize, Helm and Terraform for implementing infrastructure as code.

- Strong interest in staying ahead of new technologies in the data engineering space.

- Comfortable working in ambiguous team-situations, showcasing adaptability and drive in solving novel problems in the data-engineering space.