As a Data Platform Engineer, you’ll have the opportunity to:
- Help shape the future of the Data Platform that we are building
- Lead the design and implementation of new platform feature & data products that will improve the experience of people working with data at DAZN
- Work on tooling for our Data Engineering teams, to automate tasks and make it easier for them to deliver value from our data
- Contribute to the ongoing improvement of our engineering processes, standards and documentation
- Mentor junior engineers and help them develop their skills
You will be set up for success if you have:
- Several years of experience as a Platform or Data Engineer, writing clean, robust and testable code, preferably in Python, whether functional or object-oriented
- Strong understanding of cloud-vendor technologies, such as AWS, GCP or Azure
- Experience with infrastructure-as-code and CI/CD processes
- Working knowledge of SQL and knowledge of Data Warehousing concepts
- Working experience with open-source orchestration tools like Airflow
- Exposure to Docker, Kubernetes and/or streaming technologies such as Kinesis, Apache Flink, Apache Kafka
Even better if you have:
- Experience using AWS services, such as S3, Lambda, IAM, EMR, EKS, Firehose and EventBridge
- Experience working on Terraform for cloud infrastructure management.
- Experience working on MPP Databases like Snowflake, Redshift
- Experience working with Apache Spark
- Worked with Data Lake Table Formats such as Apache Iceberg or Delta Lake
- Hands-on knowledge of building data pipelines, either batch, event-driven or streaming
- Familiarity with dbt, data modelling and data quality testing
- Experience in implementation/productionize open-source tools.
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