Description
At Bynder, we enable brands to deliver exceptional content experiences that drive business impact. As a Data Engineer at Bynder, you will work closely with Data Analysts, Data Scientists, Software Engineers, and DevOps Engineers to develop data pipelines and build self-serve data tools.
Responsibilities:
- Improve our data architecture using Data Mesh principles
- Develop, scale, maintain, and deploy our data platform infrastructure in the cloud
- Apply Data Lineage and Governance throughout the organization
- Support the Product & Engineering organization in their data needs
- Develop custom ETL pipelines, detect anomalies, and create optimized aggregations for analysis and dashboarding
Requirements:
- Minimum of 5+ years of Data Engineering experience
- Hands-on experience in AI Native development, designing data platforms, Data Mesh, Data Governance, and Data Lineage
- Experience with industry-standard data pipelining tools such as Spark, Kafka, and Airflow
- Knowledge of cloud computing-based data cloud solutions such as AWS and Snowflake
- Experience with infrastructure-as-code solutions such as Terraform
We offer:
- Challenging and inspiring work environment
- Learning and Development budget
- Commuting budget
- Mental Health and Well-being Support
- Bynder Love stipend
- Unlimited vacation policy
- Volunteer Time Off
- Team and Company activities
- Complimentary Lunches and Snacks