At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

SKILLS AND ATTRIBUTES FOR SUCCESS

• Certifications such as Snowflake SnowPro, Azure Data Engineer Associate, or Azure Data Scientist Associate.
• Experience with BI tools like Power BI, Tableau, or Looker.
• Familiarity with machine learning frameworks, data science concepts, and big data tools.
• Experience with version control systems (e.g., Git) and workflow orchestration tools (e.g., Apache Airflow).
• Understanding of DevOps practices, CI/CD pipelines, and data integration techniques.

YOUR KEY RESPONSIBILITIES

As a Data Engineer, you will:

• Design, construct, and maintain scalable data pipelines and ETL/ELT processes across Snowflake and/or Azure Databricks environments.
• Develop data processing workflows using Databricks Notebooks, Spark SQL, and/or Snowflake SQL.
• Optimize data storage and processing performance to support real-time analytics and business intelligence.
• Collaborate with cross-functional teams to gather requirements and translate business needs into technical specifications.
• Build and maintain data models, data marts, and data warehouses to support analytics and reporting.
• Implement data governance, security, and compliance best practices across cloud data platforms.
• Troubleshoot and resolve data processing issues, ensuring high data quality and integrity.
• Provide technical guidance on platform capabilities and mentor junior data engineers.
• Stay current with the latest features and trends in Snowflake, Databricks, and cloud data engineering.
• Develop and maintain documentation related to data pipeline architecture, development processes, and governance.

TO QUALIFY FOR THE ROLE, YOU MUST HAVE

• A Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
• Proven experience as a Data Engineer with hands-on expertise in Snowflake, Databricks, and/or Azure.
• Strong programming skills in Python, Scala, or Java.
• Proficiency in SQL, data modeling, and data warehousing concepts.
• Knowledge of cloud platforms such as Azure, AWS, or GCP, and their integration with Snowflake.
• Experience with Apache Spark and its integration with Databricks.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work collaboratively in a fast-paced, team-oriented environment.