Job
Description
Technology Consulting
Title Manager II, Data Engineering
EY is a global leader in assurance, tax, transaction and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization. Fueled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are vital to innovation at scale. As part of Client Technology, youll work with technologists and business experts, blending EYs deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise. As a catalyst for change and growth, youll be at the forefront of integrating emerging technologies from AI to Data Analytics into every corner of what we do at EY. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact. EY Technology
Technology has always been at the heart of what we do and deliver at EY. We need technology to keep an organization the size of ours working efficiently. We have 250,000 people in more than 140 countries, all of whom rely on secure technology to be able to do their job every single day. Everything from the laptops we use, to the ability to work remotely on our mobile devices and connecting our people and our clients, to enabling hundreds of internal tools and external solutions delivered to our clients. Technology solutions are integrated in the client services we deliver and is key to us being more innovative as an organization. EY Technology supports our technology needs through three business units
Client Technology (CT) - focuses on developing new technology services for our clients. It enables EY to identify new technology-based opportunities faster and pursue those opportunities more rapidly. Enterprise Workplace Technology (EWT) EWT supports our Core Business Services functions and will deliver fit-for-purpose technology infrastructure at the cheapest possible cost for quality services. EWT will also support our internal technology needs by focusing on a better user experience. Information Security (Info Sec) - Info Sec prevents, detects, responds, and mitigates cyber-risk, protecting EY and client data, and our information management systems. The opportunity 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. Your key 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.
Skills and attributes for success
A team player with strong analytical, communication and interpersonal skills
Constantly updating yourself about new technologies in the market
A winning personality and the ability to become a trusted advisor to the stakeholders
To qualify for the role, you must have
Minimum 8 years of relevant work experience, with at least 5 years in a leadership role managing data engineering teams and large-scale data infrastructure.
Bachelors degree (B.E./B.Tech) in Computer Science, IT, or a related field or Diploma in Data Science/Data Engineering.
Strong expertise in ETL development, data warehousing and real-time data processing frameworks.
Hands-on experience with SQL, Python, Spark, Kafka and cloud platforms (AWS, Azure, Google Cloud).
Proficiency in database technologies (PostgreSQL, MySQL, MongoDB, Snowflake, Big Query) and distributed computing frameworks.
Ideally, youll also have
Strong verbal and written communication, facilitation, relationship-building, presentation and negotiation skills.
Be highly flexible, adaptable, and creative.
Comfortable interacting with senior executives (within the firm and at the client)
