Relentlessly work in breaking data silos and ensuring data is accessible across Sary.
Analyze, process, and organize raw data.
Design, build and maintain cloud-native, modern lakes and warehouses.
Collaborate with data analysts and scientists in creating self-service platforms for the deployments and operations of ML models.
Collaborate with Product and Engineering members in building data infrastructure projects.
Build data ingestion and aggregation capabilities from multiple, real-time sources.
Requirements:
Previous experience in a data engineering role(or similar data roles).
Experience with data frameworks, such as Apache Spark, Apache Hadoop, or Apache Beam.
Experience building data lakes and warehouses(preferably in a data lakehouse architecture).
Experience with Python or other relevant programming languages such as Scala and R.
Experience with any relational and nonrelational databases.
Experience with cloud providers, preferably AWS or GCP. Were mainly interested in relevant services in data storage and processing(e.g. AWS S3 or GCP Dataflow).
