People Analytics Data Engineer — HR Data Pipelines

Quest Oracle Community; Hartford (CT); In loco; USD 83.000 - 222.000; Tempo pieno

Descrizione del lavoro

CVS Health is seeking a Data Engineer for People Analytics to design and build data pipelines, warehouse models, and analytics workflows in cloud platforms. You will act as an individual contributor and technical developer within the People Analytics Data Engineering team.

You'll partner with HR leaders and IT to translate business needs into scalable data solutions, ensure data governance, and support reporting in Python, R, and related tools.

Competenze

• 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, automation, and analysis.
• 3+ years' experience with cloud platforms (GCP preferred).
• 2+ years' experience with data warehousing solutions (Snowflake, Redshift, BigQuery).
• 2+ years' experience with scheduling tools like Airflow or Composer.

Mansioni

• Design, build, and manage data pipelines and ETL for HR data.
• Develop data workflows ensuring accuracy and availability for HR analytics.
• Oversee a team of data engineers; promote best practices.
• Structure data and models for analysis; enable reproducible reporting.
• Ensure data governance and security per company policies and regulations.
• Partner with HR, IT and analytics teams to translate needs into data.

Conoscenze

Data engineering

ETL/ELT

SQL

Python

Cloud platforms

Data warehousing

Scheduling tools

Formazione

Bachelor's degree in CS/Data/related

Master's degree preferred

Strumenti

Workday

PowerBI

Tableau

Descrizione del lavoro

CVS Health is seeking a Data Engineer for People Analytics to design and build data pipelines, warehouse models, and analytics workflows in cloud platforms. You will act as an individual contributor and technical developer within the People Analytics Data Engineering team.

You'll partner with HR leaders and IT to translate business needs into scalable data solutions, ensure data governance, and support reporting in Python, R, and related tools.