Sr. Data Analyst – Data Engineering

Stanley Black & Decker

Fully remote
Sql proficiency
Python for data processing
Snowflake data solutions
Collect, analyze, transform, and consolidate large volumes of data, working with internal team as well as business unit stakeholders including Verifying and validating data accuracy to ensure integrity

Job Summary

  • Collect, analyze, transform, and consolidate large volumes of data, working with internal team as well as business unit stakeholders including Verifying and validating data accuracy to ensure integrity.
  • Design, develop, and maintain ETL/ELT data pipelines using SQL, Python , and distributed processing frameworks.
  • Partner with IT, product, and business stakeholders to translate requirements into technical solutions.

Matching Summary

Collect, analyze, transform, and consolidate large volumes of data, working with internal team as well as business unit stakeholders including Verifying and validating data accuracy to ensure integrity.

Skills & Requirements

Must-have

  • SQL proficiency
  • Python for data processing
  • Snowflake data solutions
  • PySpark/Snowpark development
  • GitHub for version control
  • ETL/ELT pipeline design

Nice-to-have

  • MLOps workflow support
  • Cloud platform experience
  • Jupyter Lab prototyping
  • Collaborative stakeholder engagement

Key Requirements

  • 3 years data analytics experience
  • Bachelor's or Master's degree
  • Experience with Snowflake
  • Experience with PySpark or Snowpark
  • Experience with cloud platforms

Work Rights

Not specified

Tailored Resume

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