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Data Engineer - Build scalable data pipelines and infrastructure

Design and implement ETL processes for data transformation and storage optimization

Tags

Updated: 2026-02-12

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • script data ingestion from sources
  • apply cleaning and normalization logic
  • write to target storage
  • analyze large tables or slow aggregations
  • implement indexing, partitioning, or compression

Inputs

  • source data
  • data pipeline specifications
  • storage systems
  • database guidelines
  • tech stack rules

Outputs

  • ETL pipelines
  • transformed data structures
  • optimized storage configurations
  • data quality reports
  • performance metrics

Requirements

  • Database guidelines compliance
  • Tech stack rules adherence
  • Immutable source data handling
  • Schema enforcement capabilities
  • Storage efficiency considerations

Source

  • Spec: SKILL.md

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Data
Engineering
ETL
Pipeline
Infrastructure
script data ingestion from sources
apply cleaning and normalization logic
write to target storage
analyze large tables or slow aggregations
source data
data pipeline specifications
storage systems
ETL pipelines
transformed data structures
optimized storage configurations