EY Data Management - Scientist 

India, Karnataka, Bengaluru 

415706546

Data Management - Data Scientist

The Data Scientist will be responsible for leveraging the data lake to drive advanced analytics and predictive modelling initiatives. This role requires a combination of statistical expertise, machine learning knowledge, and the ability to derive insights from large volumes of complex data. The Data Scientist will work closely with business stakeholders to understand their challenges and develop data-driven solutions.

Key responsibilities

Design and implement modern data architectures using Azure Data Lake, Azure Synapse, Databricks, and Azure Data Factory.

• Build scalable and efficient ETL/ELT pipelines for structured and unstructured data.
• Lead the development of enterprise data models, data catalogs, and governance frameworks.
• Collaborate with data scientists, analysts, and business stakeholders to ensure data availability and quality.
• Implement CI/CD for data pipelines using Azure DevOps, GitHub Actions, or similar tools.
• Drive best practices in data engineering, data security, and cloud cost optimization.
• Lead and mentor a team of data engineers, providing technical direction and code reviews.
• Monitor, troubleshoot, and optimize data pipelines and jobs in production environments.

Required Skills & Qualifications:

• 8+ years of experience in data engineering with at least 1+ years in a leadership role.
• Strong expertise in Azure Data Platform: Data Factory, Data Lake Gen2, Synapse, Databricks, and Azure SQL/SQL MI.
• Proficiency in PySpark, SQL, and scripting languages (Python, Scala).
• Experience with Delta Lake, Unity Catalog, and medallion architecture (bronze/silver/gold layers).
• Solid understanding of data warehousing, data modeling, and data quality frameworks.
• Strong DevOps mindset with experience in CI/CD, Terraform, and Git-based development.
• Excellent problem-solving, communication, and team leadership skills.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

Preferred Qualifications:

• Azure certifications (e.g., DP-203, AZ-305).
• Experience with real-time streaming using Azure Event Hubs, Kafka, or Databricks Structured Streaming.
• Exposure to data governance tools (e.g., Purview, Unity Catalog).
• Familiarity with machine learning pipelines and integration with Azure ML or Databricks ML

What we offer
As part of this role, you'll work in a highly integrated, global team with the opportunity and tools to grow, develop and drive your career forward. Here, you can combine global opportunity with flexible working. The EY benefits package goes above and beyond too, focusing on your physical, emotional, financial and social well-being. Your recruiter can talk to you about the benefits available in your country. Here’s a snapshot of what we offer:

• Continuous learning : You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.