Data Engineer- Azure- Senior

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. Join us and build an exceptional experience for yourself, and a better working world for all.

Requirements

• 3 years of experience in building end-to-end business solutions using big data and data engineering.
• Expertise in core Microsoft Azure Data Services (e.g., Azure Data Factory, Azure Databricks, Azure Synapse, Azure SQL, Data Lake services etc).
• Familiar with integrating services, Azure Logic apps, Function Apps, Stream analytics, Triggers, Event hubs etc.
• Expertise in Cloud related Big Data integration and infrastructure tech stack using Azure Databricks & Apache Spark framework.
• Must have the following: Python, SQL Pyspark and preferred R, Scala.
• Experience developing software tools using utilities, pandas, NumPy and other libraries/components etc.
• Hands-on expertise in using Python frameworks (like Django, Pyramid, Flask).
• Preferred substantial background in data extraction and transformation, developing data pipelines using MS SSIS, Informatica, Talend or any other on-premises tools.
• Preferred knowledge on Power BI or any BI tools.
• Should have good understanding of version controlling with Git, JIRA, Change / Release management, build/deploy, CI/CD Azure Devops.
• Bachelor’s Degree or above in mathematics, information systems, statistics, computer science, data analytics or related disciplines.
• Experience with AI/ML is a plus.
• Preferred Certification in DP-203 Azure Data Engineer or any other.
• Ability to communicate clearly and concisely and use strong writing and verbal skills to communicate facts, figures, and ideas to others.