Talentmate
India
29th December 2025
2512-1998-9467
Requisition Id: 1662966
As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we dont just focus on who you are now, but who you can become. We believe that it’s your career and ‘It’s yours to build’ which means potential here is limitless and well provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self.
The opportunity :Data Engineering Manager-CDAO0005- Hyderabad
Data Engineering Manager-CDAO0005- :
EY Consulting is building a better working world by transforming businesses through the power of people, technology and innovation. Our client-centric approach focuses on driving long-term value for our clients by solving their most strategic problems. EY Consulting is made up of three sub-service lines: Business Consulting (including Performance Improvement and Risk Consulting), Technology Consulting and People Advisory Services.
Roles:
The Manager, Data Engineering is responsible for leading a team of data engineers to design, develop, and optimize scalable data pipelines and infrastructure. This role focuses on enabling high-performance data workflows, ensuring seamless data integration and driving automation to enhance data accessibility.
Roles & Responsibilities:
Hire, mentor and manage a team of data engineers, fostering a culture of innovation, collaboration and continuous learning in data engineering best practices.
Design, develop and maintain scalable ETL (Extract, Transform, Load) pipelines to efficiently process and integrate structured and unstructured data from multiple sources.
Build and maintain scalable, fault-tolerant data architectures, ensuring efficient data storage, retrieval and processing across cloud and on-premises environments.
Oversee the design, implementation and performance tuning of relational and NoSQL databases, ensuring data consistency, security and accessibility.
Automate data ingestion, transformation and validation processes to enhance data pipeline efficiency and reduce manual intervention.
Develop cloud-based data solutions using platforms like AWS, Azure, or Google Cloud, leveraging technologies such as Spark, Hadoop and Kafka for large-scale data processing.
Work closely with data scientists, analysts and business intelligence teams to understand data requirements and develop scalable solutions for analytics and reporting.
Proactively monitor data pipelines and systems for performance issues, troubleshoot failures and implement preventive measures for system reliability.
Partner with business and IT leaders to align data engineering initiatives with company goals, ensuring seamless integration of data-driven solutions across departments.
Experience
| Role Level: | Mid-Level | Work Type: | Full-Time |
|---|---|---|---|
| Country: | India | City: | Hyderabad ,Telangana |
| Company Website: | http://www.ey.com | Job Function: | Engineering |
| Company Industry/ Sector: |
Professional Services | ||
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