Google · google.com · checked today
Senior Data Engineer, gTech Risk
Skills, with evidence
- Data modelling
5 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
must have - Python
Experience with Python or R for statistical analysis and model development.
must have - SQL
Experience in SQL and data visualization tools (e.g., Tableau, Looker).
must have - Spark
5 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
must have - Dashboards & BI
Build and manage executive dashboards for business reviews, pipeline management, and enterprise risk posture reporting.
not practised here - Streaming
5 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
- Failure handling
Partner with core Data Science and Engineering teams to transition our risk analysis from reactive (incident based) to predictive (threat based).
- Governance & security
Experience working within an Enterprise Risk Management (ERM) or Governance, Risk, and Compliance (GRC) framework.
not practised here
Your plan
- SQL
drills at the Senior level
- Python
drills at the Senior level
- Modelling
drills at the Senior level
- Pipelines
drills at the Senior level
- Spark
drills at the Senior level
The full plan, drill by drill, is on the job page.
leaves in 12 dremoved the moment Google closes it