Google · google.com · checked today
Staff Data Engineer, Trust and Safety Tech and Data Enablement
Skills, with evidence
- Data modelling
Interpreting and designing data elements, structures, and relationships to deliver consistent and predictable data models.
must have - Python
10 years of experience writing code using specialized languages and libraries (e.g., Python, R, SQL) for datasets.
must have - SQL
10 years of experience writing code using specialized languages and libraries (e.g., Python, R, SQL) for datasets.
must have - Spark
10 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).
must have - Warehousing
Designing, evaluating, and managing scalable data storage and processing ecosystems (e.g., Data Lakes, Data Warehouses, Data Mesh).
must have - Airflow / orchestration
Designing and implementing complex ETL pipelines for synchronous and asynchronous system integration.
- GCP
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive.
not practised here - Machine learning
Leverage , deploy, and continuously train ML models while implementing new storage and serving systems to scale across Data Engineering.
not practised here
Your plan
- SQL
drills at the Staff level
- Python
drills at the Staff level
- Modelling
drills at the Staff level
- Pipelines
drills at the Staff level
- Spark
drills at the Staff level
The full plan, drill by drill, is on the job page.
leaves in 6 dremoved the moment Google closes it