Job Description
Minimum 4-6 years' experience as a Data Engineer Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep, etc.). Experience in Spark (Scala/Python/Java) and Kafka. Experience in MDM, Metadata Management, Data Quality and Data Lineage tools. E2E Data Engineering and Lifecycle (including non-functional requirements andoperations) management. Regulatory and Compliance work in Data Management.E2E Solution Design skills - Prototyping, Usability testing and data visualization literacy. Experience with SQL and NoSQL modern data stores.

Desired Candidate Profile
Bachelor's degree in computer science or related degree. Excellent written and verbal communications in English

Key Skills
Spark,SCALA,Kafka,SQL,Python,Java,NoSQL,Data Engineering,Artificial Intelligence,Google Cloud