Senior Data Engineer – EY DnA, Bengaluru (EYP-DnA-Data Engineer)

September 23, 2025

Job Description

πŸ“Š Summary: Senior Data Engineer – EY DnA, Bengaluru (EYP-DnA-Data Engineer)

Join EY India’s Strategy and Transactions (SaT) – Data and Analytics (DnA) team as a Senior Data Engineer in Bengaluru. This exciting opportunity is perfect for experienced data engineers with a passion for modern data platforms, Azure data services, data warehouse architecture, and cloud-based ETL/ELT pipelines. You’ll contribute to high-impact digital transformation projects and support on-premise and cloud data platforms for global clients.

This Data Engineer job at EY Bengaluru is ideal for professionals with 6+ years of data warehousing and cloud platform experience, particularly within Microsoft Azure and modern big data environments.


πŸ“Œ Job Details at a Glance

Job TitleEYP-DnA Data Engineer – Senior Analyst
CompanyEY (Ernst & Young Global Limited)
LocationBengaluru, India (Remote/Anywhere in Country)
Experience Level6–8 years total; 3+ years in Data Engineering
Cloud ToolsAzure (ADF, Synapse, Data Lake), GCP, AWS
ETL ToolsAzure Data Factory, PySpark, Kafka, Databricks
BI ToolsPower BI, Tableau, OBIEE, Alteryx, SSAS, MicroStrategy
Tech StackSQL, Azure Synapse, Python, SparkSQL, NoSQL
Engagement TypeFull-time, Senior Level
Preferred ExperienceOn-prem to cloud migrations, Snowflake

πŸ’Ό Key Responsibilities

As a Senior Analyst – Data Engineer at EY, you will:

  • Lead the design and development of modern data warehouses and ETL/ELT pipelines on Azure and other major cloud platforms.
  • Evaluate, select, and implement data warehousing tools for data ingestion, storage, and analytics.
  • Build robust data orchestration workflows and automate structured/unstructured data processing.
  • Translate complex business needs into scalable data solutions (Data Lakes, OLAP, Synapse).
  • Document end-to-end data pipelines and technical specifications including mapping, test cases, and support documents.
  • Collaborate with architects, SMEs, developers, and business stakeholders across global teams.
  • Ensure data governance, privacy, and security compliance in all data engineering efforts.
  • Mentor junior team members and enforce ETL/DWH best practices.
  • Optimize performance of ETL pipelines and cloud-based database systems.

🧠 Skills and Technologies Required

  • Minimum 6+ years total experience, with 3+ years in Data Engineering & Warehousing
  • Deep experience with Azure services:
    • Azure Data Factory (ADF), Azure Synapse Analytics
    • Azure Data Lake, Azure SQL, Azure Analysis Services
    • Kafka, Azure Databricks, Azure Storage
  • Strong experience in SQL Server, Oracle, MySQL, and data modeling
  • Solid understanding of PySpark and SparkSQL
  • Hands-on experience in cloud migration projects (Azure, AWS, or GCP)
  • Familiarity with reporting tools: Power BI, Tableau, OBIEE, Business Objects
  • Agile development, SDLC, and product lifecycle knowledge
  • Strong problem-solving, analytical, and communication skills

πŸŽ“ Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • Relevant certifications (Azure Data Engineer Associate, etc.) are a plus
  • Experience in Big 4 or global consulting firms preferred

🌟 Why Join EY’s Data & Analytics Team?

  • Work on large-scale, high-impact digital transformation projects across global markets.
  • Gain exposure to cutting-edge cloud platforms and analytics ecosystems.
  • Collaborate with diverse, multidisciplinary teams in over 150 countries.
  • Clear career progression, upskilling programs, and leadership development.
  • Flexible working model and support for remote engagements.
  • Opportunity to contribute to EY’s mission of building a better working world through data-driven insights.

πŸš€ Apply Now

Ready to take your career to the next level as a Senior Data Engineer at EY Bengaluru?

πŸ‘‰ Apply on the Official EY Careers Portal

Don’t miss this opportunity to work with one of the world’s most respected consulting firms and transform data into impact.