GitLab · job-boards.greenhouse.io · checked today
Intermediate Data Engineer
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
Skills, with evidence
- Airflow / orchestration
Experience with orchestration tools such as Airflow, familiarity with dbt, and solid data modeling fundamentals, including Kimball dimensional modeling.
must have - Data modelling
Experience with orchestration tools such as Airflow, familiarity with dbt, and solid data modeling fundamentals, including Kimball dimensional modeling.
must have - Data quality
Use monitoring, service-level agreements (SLAs), data contracts, query and warehouse tuning, and data quality checks to keep the platform reliable and cost-efficient.
must have - Incremental loads
Hands-on experience with ELT or extract, transform, load (ETL) pipelines at scale, including incremental loads, schema changes, backfills, and API ingestion.
must have - Python
Professional experience shipping production data pipelines in Python.
must have - SQL
Deep, hands-on SQL skills and experience with a cloud data warehouse; Snowflake is preferred.
must have - Governance & security
GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation.
not practised here - Warehousing
Use monitoring, service-level agreements (SLAs), data contracts, query and warehouse tuning, and data quality checks to keep the platform reliable and cost-efficient.
- Kubernetes
Manage and maintain the infrastructure behind the platform, including SaaS tools such as Snowflake, Fivetran, and Monte Carlo, and self-managed services such as Airflow and Kubernetes.
not practised here - Failure handling
Use monitoring, service-level agreements (SLAs), data contracts, query and warehouse tuning, and data quality checks to keep the platform reliable and cost-efficient.
- Idempotency & backfills
Hands-on experience with ELT or extract, transform, load (ETL) pipelines at scale, including incremental loads, schema changes, backfills, and API ingestion.
- Schema evolution & contracts
Use monitoring, service-level agreements (SLAs), data contracts, query and warehouse tuning, and data quality checks to keep the platform reliable and cost-efficient.
- dbt
Experience with orchestration tools such as Airflow, familiarity with dbt, and solid data modeling fundamentals, including Kimball dimensional modeling.
- GCP
Docker, Kubernetes, Google Cloud Platform (GCP), or Terraform;
not practised here
Your plan
- The SQL screen: correct, then fast≈ 1 h
Data quality · SQL
- Average order value by countryFoundations
- Line items per orderFoundations
- Revenue by buyer countryFoundations
- Customers who never orderedFoundations
- Hiring funnel by roleFoundations
- Python: the data-wrangling round≈ 2 h
Python
- Clean spreadsheet headers into column namesFoundations
- Events normalization jobFoundations
- List the distinct composite keysFoundations
- Deduplicate rows, first one winsFoundations
- Remove repeats from a sorted list of partitionsFoundations
- Data modelling: the round most people fail≈ 2 h
Data modelling · Warehousing · dbt
- Marketplace core entitiesFoundations
- Cinema seat bookingFoundations
- City parking baysFoundations
- Dating app matchesFoundations
- Food delivery ordersFoundations
- Pipeline design: safe to run twice≈ 3 h
Airflow / orchestration · Incremental loads · Failure handling · Idempotency & backfills · Schema evolution & contracts
- Run it for last TuesdayFoundations
- Your first pipelineFoundations
- After the first one finishesFoundations
- Counting it onceFoundations
- The column that vanishedFoundations
- Say it out loud≈ 1 h
20 drills · Foundations + Intermediate≈ 8 hours
Not covered by the plan: Governance & security, Kubernetes, GCP.
Readiness
Counted from drills you have completed anywhere on D8LooP.
leaves in 9 dremoved the moment GitLab closes it