People Analytics Data Engineer — ETL & Cloud

Quest Oracle Community

Boston (MA)

Vor Ort

USD 83.000 - 222.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Medical, dental, and vision coverage
Retirement savings options
Paid time off

Zusammenfassung

CVS Health in Boston is seeking a Data Engineer - People Analytics to design data warehouse models, build robust ETL pipelines, and develop analytics workflows across HR data sources such as Workday. The role includes technical leadership, mentoring, and close collaboration with HR and IT to enable reliable reporting in Python, R, and BI tools.

You will ensure data governance and security, driving scalable solutions that support strategic HR decisions and workforce insights across the

Qualifikationen

  • 3+ years' experience in Data Engineering.
  • 3+ years' experience with ETL/ELT processes and tools.
  • 3+ years' experience with SQL and relational databases.
  • 2+ years' experience programming in Python for data manipulation.
  • 3+ years' experience with cloud platforms, prefer GCP.
  • 2+ years' experience with data warehousing solutions.
  • 2+ years' experience with scheduling tools like Airflow or Composer.

Aufgaben

  • Design, build, and manage data pipelines and ETL processes for HR data sources.
  • Develop and optimize data workflows for accuracy and availability.
  • Oversee a team of data engineers, mentoring and guiding best practices.
  • Structure data for analysis and create reproducible workflows for reporting.
  • Ensure data governance and security in line with policies and regulations.
  • Partner with HR, IT, and stakeholders to understand requirements and deliver insights.

Kenntnisse

Data Engineering
ETL/ELT
SQL
Python
Cloud platforms (GCP/AWS/AZURE)
Data warehousing
Airflow/Composer

Ausbildung

Bachelor's in CS/Data Eng/Data Science
Master's preferred

Tools

Workday
Snowflake/Redshift/BigQuery

Jobbeschreibung

CVS Health in Boston is seeking a Data Engineer - People Analytics to design data warehouse models, build robust ETL pipelines, and develop analytics workflows across HR data sources such as Workday. The role includes technical leadership, mentoring, and close collaboration with HR and IT to enable reliable reporting in Python, R, and BI tools.

You will ensure data governance and security, driving scalable solutions that support strategic HR decisions and workforce insights across the

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