Posted on: 03/11/2026
Company Overview :
EY is a global leader in assurance, consulting, strategy, and transactions, operating across a vast network of member firms in over 150 countries. The organization focuses on building a better working world by helping clients navigate complex business landscapes through data-driven insights, digital transformation, and rigorous financial oversight. With a massive footprint in professional services, EY leverages cutting-edge technology to solve critical challenges for Fortune 500 companies and government entities alike.
Role Overview :
As a Data Engineer at EY in Bangalore, you will serve as a technical anchor within our data and analytics practice, bridging the gap between complex architectural design and scalable implementation. You will work closely with cross-functional teams, including data scientists, business analysts, and client stakeholders, to build robust data pipelines that power high-impact decision-making. Your day-to-day will involve architecting sophisticated data solutions, optimizing ETL processes, and ensuring the integrity and performance of large-scale data ecosystems that drive business outcomes for our global clientele.
Key Responsibilities :
- Design and implement scalable data architectures that support high-volume data ingestion and processing for enterprise-level clients.
- Develop and maintain complex ETL/ELT workflows to ensure seamless data integration across disparate systems and cloud platforms.
- Provide technical leadership using Java to build high-performance, maintainable data processing applications.
- Collaborate with project managers and business stakeholders to translate complex requirements into efficient, production-ready data engineering solutions.
- Optimize existing data pipelines for performance, cost-efficiency, and reliability to improve overall system throughput.
- Mentor junior engineers and conduct code reviews to maintain high standards of software engineering and data quality across the team.
Required Skillset :
- Data Engineer with Java experience.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1681956