Data Engineering Senior Analyst

Role Overview

The Data Engineering Senior Analyst enables Talent Insights & Analytics by designing, operating, and maintaining reliable data pipelines and analytics platforms, including Databricks, that support enterprise reporting, dashboards, and advanced analytics across the Talent ecosystem.

What You Will Do

Design, build, and maintain robust data pipelines and transformations using Databricks, SQL, and enterprise ETL tools to support Talent reporting and analytics. Develop and optimize Databricks notebooks and workflows for data ingestion, transformation, and enrichment.

Why It Might Be a Fit

Strong experience in data engineering and analytics environments, ideally within HR or Talent domains. Hands-on experience with Databricks, proficiency in SQL, and experience with SSIS, SSMS, or equivalent data integration and transformation tools.

Requirements

• Bachelor’s degree in data, Technology, Engineering, or a related field.
• Significant experience in data engineering, data operations, or analytics platform support.
• Hands-on experience building and supporting data pipelines using Databricks in an enterprise analytics environment.
• Proven SSIS & SSMS developmental experience
• Experience supporting global teams and stakeholders across regions and time zones.
• Demonstrated ability to anticipate issues, manage risk, and deliver outcomes under pressure and ambiguity.
• Experience of conducting internal and external research and analysis, providing best practices and insights to drive improvements

Benefits

• Medical and dental coverage
• Pension and 401(k) plans
• Paid time off options
• Designated EY Paid Holidays
• Winter/Summer breaks
• Personal/Family Care
• Other leaves of absence