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EY

Senior Data Engineer – AI, Data

EY

Senior Data Engineer at EY diving deep into data to help solve complex business challenges. Collaborating with clients across various industries leveraging data and technology.

Posted 5/25/2026full-timeBengaluru • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudEC2ETLGoogle Cloud PlatformJenkinsMicroservicesMySQLNoSQLNumpyPandasPostgresPySparkPythonSQL

About the role

Key responsibilities & impact
  • Help clients solve complex business challenges with the help of data and technology
  • Dive deep into data to extract the greatest value and discover opportunities in key business functions

Requirements

What you’ll need
  • 5+ years of experience in BI/ETL development and data engineering
  • Hands-on expertise in Agentic AI frameworks (must-have)
  • Proficiency in Snowflake, Databricks, and PySpark
  • Advanced programming skills in Python
  • Solid understanding of data modelling, data warehousing, and cloud platforms (AWS/Azure/GCP)
  • Excellent problem-solving and communication skills
  • Experience with machine learning workflows and AI-driven analytics
  • Familiarity with CI/CD pipelines, API development, and microservices architecture
  • Cloud Platforms: AWS (S3, EC2, Lambda)
  • Programming Languages: Python (Dash, Pandas, NumPy), SQL
  • DevOps Tools: Jenkins, Git, GitHub
  • Database Technologies: MySQL, PostgreSQL, NoSQL databases

Benefits

Comp & perks
  • Support, coaching and feedback from some of the most engaging colleagues around
  • Opportunities to develop new skills and progress your career
  • The freedom and flexibility to handle your role in a way that’s right for you

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
BI developmentETL developmentdata engineeringAgentic AI frameworksSnowflakeDatabricksPySparkPythondata modellingdata warehousing
Soft Skills
problem-solvingcommunication