Senior Data Engineer
Summary
Build and optimize cloud data pipelines using Azure/AWS and BI tools, then present insights to consulting teams across industries.
- Join the EY GDS Data Engineering Team as a Cloud Senior Data Engineer
- Develop cloud data ingestion and processing pipelines
- Use cloud platforms and data engineering technologies to support project delivery
- Apply BI tools and programming languages to build and process data solutions
- Gather business requirements and present solutions
- Debug and optimize solutions in support roles
- Work with interdisciplinary and global EY Consulting teams across industries
- Contribute to EY's consulting services and help build a better working world
Requirements
- At least 3 years of experience developing cloud data ingestion and processing pipelines
- Experience using at least 2 of Microsoft Azure Data Factory, Microsoft Synapse, Microsoft Fabric, Databricks, AWS, GCP, Snowflake, or Hadoop
- Hands-on experience with BI tools such as Power BI, Tableau, Looker, or Qlik
- Hands-on experience with Python, PySpark, Scala, JavaScript, and/or SQL
- Familiarity with data modelling best practices for data engineers
- Familiarity with CI/CD development using DevOps/Git
- Familiarity with data architecture best practices involving NoSQL databases, RDBMS, or Databricks Unity Catalog
- Strong analytical skills and ability to solve complex technical problems
- Excellent debugging and optimization skills
- Good communication and presentation skills for gathering business requirements and presenting solutions
- Commercial acumen, technical experience, enthusiasm to learn, and consulting skills
Demonstrates expertise in developing cloud data ingestion and processing pipelines using platforms like Microsoft Azure and AWS, along with proficiency in BI tools and programming languages such as Python and SQL. Strong analytical and debugging skills are essential for optimizing data solutions and effectively communicating with stakeholders.
Highest-signal resume keywords
- Cloud Data Ingestion
- Microsoft Azure Data Factory
- Power BI
- Python
- Data Modelling Best Practices
ATS Optimization Keywords
Hard Skills
- Cloud Data Ingestion
- Data Processing Pipelines
- Python
- SQL
- PySpark
- Scala
- Microsoft Azure
- AWS
- Data Modelling
- CI/CD Development
Soft Skills
- Analytical Skills
- Problem Solving
- Communication Skills
- Presentation Skills
- Commercial Acumen
Industry Keywords
- Data Engineering
- Consulting Services
- Data Architecture
- NoSQL Databases
- RDBMS
Tools & Technologies
- Power BI
- Tableau
- Looker
- Qlik
- Databricks
- GCP
- Snowflake
- Hadoop
- DevOps
- Git