EY - GDS Consulting - AI and DATA - Databricks - Senior

Located in Hyderabad, this role offers a competitive salary and the opportunity to join EY’s Global Delivery Services (GDS) Data and Analytics (D&A) team. EY is committed to fostering an inclusive culture where your unique perspective helps shape the future. As an Azure Data Engineer specializing in Databricks, you will work with cutting-edge technologies to solve complex business challenges across industries such as Banking, Insurance, Manufacturing, Healthcare, Retail, Automotive, Supply Chain, and Finance. This position allows you to contribute to impactful projects while advancing your career within a global organization known for its support and innovation.

Key Responsibilities
- Develop and deploy big data pipelines using Azure Cloud services.
- Design, develop, and migrate ETL routines from on-premises systems to cloud platforms.
- Collaborate with senior leaders to understand business objectives and contribute to project delivery.
- Optimize model codes to improve execution speed and efficiency.

Required Qualifications
- A minimum of 4 years of IT experience, with at least 2 years focused on Azure Data Factory (ADF), including hands-on experience with the latest ADF versions.
- Proficiency in Databricks, PySpark, Python, and SQL Server.
- Practical experience with Azure Functions and Azure Synapse Analytics (formerly SQL Data Warehouse).
- Familiarity with Azure Data Lake and Blob storage solutions.
- Basic understanding of Batch Account configuration and control options.
- Ability to independently coordinate with business stakeholders, gather requirements, and implement solutions using ADF.
- Bachelor’s degree in Computer Science or a related field, with 4 to 8 years of relevant industry experience.
- Experience working within Agile delivery methodologies is preferred.
- Strong problem-solving skills, self-motivation, and personal ownership of tasks.
- Excellent written and verbal communication skills.
- Experience participating in all phases of the Big Data solution lifecycle, including analysis, design, development, testing, deployment, and support.

Preferred Qualifications and Benefits
- Client management skills are highly valued.
- EY encourages continuous learning and technical growth in a fast-paced environment.
- Employees benefit from personalized development plans, coaching, and feedback from experienced colleagues.
- Opportunities to work on diverse and meaningful projects across various industries.
- Flexibility to manage your role in a way that suits your working style.
- A collaborative, interdisciplinary environment that promotes knowledge sharing and high-quality work.

At EY, you will be part of a global network dedicated to building a better working world by creating long-term value for clients, people, and society. EY teams leverage data and technology to provide assurance and help clients grow, transform, and operate effectively. Working across assurance, consulting, law, strategy, tax, and transactions, EY professionals ask better questions to find innovative solutions to today’s complex challenges.