Education
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field, or equivalent professional experience.
Experience
A minimum of 4+ years of professional experience in data engineering, including both streaming and batch data pipeline development.
Soft Skills
- Strong ownership mindset with a focus on data accuracy and quality.
- Excellent interpersonal and cross-functional collaboration skills.
- Strong written and verbal communication skills with both technical and non-technical stakeholders.
- Ability to bridge operational and business data domains effectively.
- Proactive problem-solving and risk identification capabilities.
- Self-directed and highly organized approach to work.
- Meticulous attention to detail in documentation, governance, and data management activities.
- Ability to adapt and thrive in a fast-paced, globally distributed team environment.
Technology Stack
- Apache Flink
- Apache Kafka / AWS MSK
- Protobuf
- AWS Glue Data Catalog
- AWS Glue Schema Registry
- Amazon S3
- Apache Iceberg
- Amazon Athena
- Amazon Redshift
- Apache Airflow
- dbt
- OpenTelemetry
- Prometheus
- Grafana
- SQL
- Python
- Git
- Azure DevOps CI/CD
- AWS IAM
Physical Requirements
- Ability to work in a standard office or remote home-office environment and use a computer for extended periods.
- Ability to sit, type, and view computer screens for prolonged periods.
- Ability to participate in occasional after-hours incident response activities.
- Ability to communicate effectively via virtual and in-person meetings.
- Ability to travel occasionally if required for business purposes.
This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands.