Data Engineer
Posted 30 days ago · 0 applicants
Saving, applying or scoring takes a few seconds to set up your free account.
The role in plain words
- Bachelor’s degree in Computer Science or Practical Software Engineering
- At least 4 years of experience as a Data Engineer
- Hands-on experience working with GCP in data projects
- Experience working with BigQuery as a Data Warehouse/Lakehouse
- Experience developing Data Pipelines in the cloud (Batch or Streaming)
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referenceNESS is looking for a Data Engineer
The role includes developing data infrastructures, building complex ingestion and processing pipelines, working with large-scale data volumes and diverse data sources, and collaborating closely with data architects, system analysts, BI teams, and business stakeholders.
This is a full-time, hybrid position based in Ra’anana.
Requirements:
Bachelor’s degree in Computer Science or Practical Software Engineering – mandatory
At least 4 years of experience as a Data Engineer – mandatory
Hands-on experience working with GCP in data projects – mandatory
Experience working with BigQuery as a Data Warehouse/Lakehouse – mandatory
Experience developing Data Pipelines in the cloud (Batch or Streaming) – mandatory
Experience working with Cloud Storage for ingesting and managing large-scale data – mandatory
Experience developing ELT/ETL processes in a GCP environment – mandatory
Experience using cloud-based orchestration tools – mandatory
Experience working with IAM and permissions in GCP – mandatory
Understanding of Data Lake/Lakehouse architecture in the cloud – mandatory
Strong SQL skills, particularly in BigQuery – mandatory
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- Bachelor’s degree in Computer Science or Practical Software Engineering, At least 4 years of experience as a Data Engineer, Hands-on experience working with GCP in data projects, Experience working with BigQuery as a Data Warehouse/Lakehouse, Experience developing Data Pipelines in the cloud (Batch or Streaming)