Data Engineer, Specialist | EY Careers Hyderabad
Job Description
Summary
EY (Ernst & Young), a global leader in professional services, is hiring a Data Engineer, Specialist in Hyderabad. This role is ideal for professionals with expertise in ETL development, data pipelines, cloud data platforms, and analytics infrastructure. As a Data Engineer at EY, you will design and optimize scalable, cloud-based data solutions that empower analytics, reporting, and business intelligence for clients across industries. If you’re skilled in Python, SQL, Spark, and cloud platforms like AWS, Azure, or Google BigQuery, this is your opportunity to grow your career with a global firm known for innovation and impact.
Job Details at a Glance
| Job Title | Data Engineer, Specialist |
|---|---|
| Company | EY (Ernst & Young) |
| Location | Hyderabad, India |
| Other Locations | Primary Location Only |
| Job Type | Full-Time |
| Industry | Data Engineering, Consulting, Analytics |
| Experience Required | Strong ETL, cloud data platform, and SQL/Python experience |
| Tools/Technologies | Python, SQL, Spark, AWS Redshift, Azure Synapse, Google BigQuery |
| Date Posted | September 23, 2025 |
| Requisition ID | 1637229 |
Key Responsibilities
As a Data Engineer, Specialist at EY Hyderabad, you will:
- Develop and maintain scalable ETL processes to extract, transform, and load data from multiple sources.
- Design and optimize data pipelines and database architectures for high performance, security, and scalability.
- Integrate data from APIs, cloud platforms, on-prem systems, and third-party services to create unified datasets.
- Collaborate with data scientists, analysts, and business stakeholders to deliver tailored data solutions.
- Automate data workflows using Python, Spark, SQL, and related technologies.
- Optimize cloud-based data storage and retrieval (AWS Redshift, Azure Synapse, Google BigQuery) for performance and cost-efficiency.
- Implement data validation frameworks, anomaly detection, and cleansing processes to ensure data quality.
- Conduct regression testing, code reviews, and end-user validations for accuracy and reliability.
- Provide ongoing tool and data support to internal teams and business users.
- Work with vendors and IT teams to deploy and maintain production-ready solutions.
Required Skills & Qualifications
- Strong hands-on experience in ETL development and data pipeline design.
- Proficiency in Python, SQL, and Spark for data processing and automation.
- Experience working with cloud data warehouses such as AWS Redshift, Google BigQuery, or Azure Synapse.
- Knowledge of database architecture, optimization, and data integration techniques.
- Strong problem-solving and debugging skills in complex data environments.
- Ability to collaborate with cross-functional teams including analysts, scientists, and business stakeholders.
- Proven experience in data validation, testing, and production support.
Preferred Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or related field.
- Familiarity with ETL tools, data warehousing, and big data technologies.
- Experience in consulting or large-scale enterprise data projects.
- Strong communication and documentation skills for technical and non-technical audiences.
Why Join EY?
- Be part of a global consulting leader operating in 150+ countries.
- Work on cutting-edge data and cloud transformation projects.
- Access world-class training, certifications, and career growth opportunities.
- Enjoy EY’s inclusive work culture and flexible working environment.
- Contribute to EY’s mission of building a better working world through data-driven solutions.
Apply Now
Ready to take the next step in your career? Apply today for the Data Engineer, Specialist role at EY Hyderabad and help shape the future of data-driven consulting and analytics innovation.