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As a Senior Data Engineer, you will play an important role in the Data Platform team who are responsible for building and maintaining a scalable, robust, self-service analytics platform.
What do we expect from you
- Experience working with orchestration tool (ex: Airflow)
- Experience working with a large data set
- Experience building complex ETL pipelines
- Experience working with cloud providers such as GCP, AWS or Azure
- Strong programming skills in Spark with Scala and Python
- Experience working with CI/CD tools like Jenkins and Git
- Strong understanding of Software Engineering practices and principles
- Excellent problem solving and communication skills.
- Self-motivated and have a proven ability to take initiative to own the problems that come up and solve them.
What will you work on
- Maintaining and improving the ingestion pipeline to reliably deliver billions of events daily in defined SLA
- Provide support for all teams in building and optimizing their complex pipelines
- Work closely with other teams to identify pain points and problems around the platform
- Develop new tools and frameworks to improve the data platform
- Facilitate company wide to be data-driven
- Work in close collaboration with data scientists and data analysts to help support their work go to production
- Work with vast projects such as building an ML platform and streaming use cases
- Setup best practices and processes around software and data development
It would be great if you also have
- Working with messaging system like Kafka
- Knowledge in Kubernetes
- Hands on experience with any streaming platform
- Experience managing data warehouse in BigQuery or Redshift