EY Hiring for Azure Data Engineer
Job Title: Azure Data Engineer
Job ID: 1626498
Location: Bengaluru, Karnataka, India (Hybrid)
Employment Type: Full-Time
Batch: Open to All
Experience: 2 to 5 Years
Salary: As per Industry Standards
Qualification: Bachelor’s or Master’s in Computer Science, Information Technology, or equivalent
Certifications if any: Azure Data Engineer Associate or related Azure certification preferred
About Us
EY, also known as Ernst & Young, is a globally recognized professional services firm, committed to building a better working world. Operating in over 150 countries with more than 300,000 professionals, EY serves clients across industries through assurance, advisory, tax, and consulting services. The firm is at the forefront of digital transformation, enabling enterprises to harness the power of data, analytics, and the cloud to drive meaningful business outcomes.
In India, EY provides robust solutions to clients in domains ranging from financial services to healthcare, retail to manufacturing. The Bengaluru office is a key technology hub, focusing on innovation, data engineering, cloud services, and cybersecurity. At EY, professionals are empowered with continuous learning opportunities, career mobility, and a culture that values diversity and inclusion. With a focus on integrity and quality, EY is a trusted advisor to the world’s most influential organizations.
Key Responsibilities
Design and implement scalable and high-performance data solutions on Microsoft Azure platforms.
Develop and maintain Azure Data Factory pipelines, ensuring data is ingested, processed, and stored efficiently.
Utilize Azure Databricks and Azure Synapse Analytics to handle large-scale data transformations and analytics workloads.
Collaborate with data scientists, analysts, and stakeholders to gather requirements and deliver actionable insights.
Write optimized Spark and Python code to process structured and unstructured data.
Build and maintain real-time and batch data ingestion frameworks with an emphasis on reliability and efficiency.
Ensure compliance with security and governance protocols including data encryption, masking, and access controls.
Monitor, debug, and resolve performance and operational issues in production data systems.
Implement CI/CD workflows for data pipelines using Azure DevOps and Git-based versioning.
Document technical designs, architectural decisions, and best practices to enable team collaboration and maintainability.
Required Skills
2 to 5 years of hands-on experience with Microsoft Azure Data Services.
Strong expertise in Azure Data Factory (ADF), Azure Databricks, and Synapse Analytics.
In-depth understanding of Apache Spark and distributed data processing concepts.
Proficiency in programming languages such as Python and/or Scala.
Strong command of SQL for data querying, transformation, and performance tuning.
Experience building and managing data lakes or data warehouses in Azure.
Familiarity with Azure DevOps, Git, and CI/CD automation practices.
Strong problem-solving skills and ability to troubleshoot data processing issues in large-scale environments.
Experience with data security best practices and compliance requirements.
Ability to communicate technical concepts to non-technical stakeholders and collaborate across teams.
Preferred Skills
Certification in Azure Data Engineering (e.g., Microsoft DP-203).
Experience with Azure Functions, Logic Apps, or Event Grid for workflow automation.
Exposure to data visualization tools such as Power BI.
Familiarity with real-time data processing using Kafka or Azure Event Hubs.
Knowledge of metadata management tools like Azure Purview.
Understanding of Infrastructure as Code (IaC) tools like Terraform or Bicep.
Knowledge of machine learning pipeline integration within cloud environments.
Exposure to Agile methodologies, Scrum frameworks, and DevOps culture.
Experience in enterprise-level migration projects from on-premise to cloud data architecture.
Understanding of data governance frameworks, data cataloging, and auditing.
Perks & Benefits
Competitive compensation with annual performance-based bonuses.
Flexible hybrid work model that supports work-life balance.
Comprehensive health coverage for employees and their dependents including dental and vision.
Paid time off including casual leave, earned leave, and wellness days.
Access to EY’s Global Learning Platform with certifications and upskilling courses.
Global mobility programs enabling international exposure and career progression.
Support for professional certifications and conferences.
Inclusive workplace with active diversity and women-in-tech initiatives.
Employee recognition programs and award nominations for excellence.
Career development through mentorship, leadership training, and project ownership.
Why Join Us?
EY offers more than just a job—it offers a fulfilling career journey. At EY, you will work with cutting-edge technologies and global clients on real-world challenges that make a difference. As a Data Engineer, your skills will directly impact businesses by turning raw data into critical insights and driving decision-making.
EY is known for its culture of continuous innovation, professional development, and global impact. Whether it’s through internal mobility programs, leadership coaching, or diversity initiatives, EY empowers you to chart your own path. Here, your work is valued, your voice is heard, and your growth is prioritized.
If you are passionate about cloud technologies, data engineering, and delivering impactful business solutions, EY provides the perfect platform to thrive. The collaborative culture, robust learning ecosystem, and access to global clients make EY one of the best places to build a future-proof data career.
