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Senior Data Engineer

Listed
davila7·vlatest·data·MIT

Designs, builds, and optimizes scalable data pipelines & infrastructure for complex analytical needs.

Repository

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Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill senior-data-engineer -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

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Live repository

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About this skill

What it does

The senior-data-engineer skill provides advanced capabilities for designing, building, and maintaining large-scale data processing systems. It includes expertise in ETL processes, data pipeline orchestration, and optimizing data storage solutions.

When to use it

  • When developing complex data pipelines that require high performance and reliability
  • For managing big data workflows across distributed computing frameworks like Spark or Hadoop
  • When integrating data from multiple sources into a unified analytics platform

Key capabilities

  • Designing scalable ETL processes
  • Implementing data pipeline orchestration tools (e.g., Apache Airflow)
  • Optimizing query performance on large datasets
  • Ensuring data quality and integrity in distributed systems

Example prompts

  • "Design an ETL pipeline for processing real-time user activity logs."
  • "Optimize this Spark job to reduce execution time by 30%."
  • "Set up a data warehouse schema that supports multi-dimensional analytics."

Tips & gotchas

  • Ensure you have access to the necessary infrastructure (e.g., cloud platforms, cluster resources) before deploying pipelines.
  • Data lineage and documentation are crucial for maintaining complex systems—make them a priority from the start.