Senior Data Engineer
Senior Data Engineer at EY GDS in Cebu building cloud data ingestion and processing pipelines using platforms like Azure Data Factory, Databricks, Snowflake, or AWS/GCP, coding in Python/PySpark/SQL, working with BI tools such as Power BI and Tableau, and applying CI/CD and data architecture best practices.
- Compensation
- Not disclosed
- Location
- Cebu, Central Visayas
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- At least 3 years of experience developing cloud data ingestion and processing pipelines using at least 2 of: Azure Data Factory, 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
- Familiar with data modelling best practices for data engineers
- Familiar with CI/CD development using devops/Git
- Familiar with data architecture best practices on NoSQL databases, RDBMS, or Databricks Unity Catalog
- Strong analytical skills and enjoys solving complex technical problems
- Excellent debugging and optimization skills for support roles
- Good communication and presentation skills for gathering business requirements and solution presentations
Full description
About the role
We're looking for a Cloud Senior Data Engineer to join the EY GDS Data Engineering Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth.
Key responsibilities
- Develop cloud data ingestion and processing pipelines
- Work with BI tools such as Power BI, Tableau, Looker, Qlik
- Use Python, Pyspark, Scala, JavaScript and SQL
- Apply data modelling best practices for data engineers
- Use CI/CD development with devops/Git
- Apply data architecture best practices on NoSQL databases, RDBMS, or Databricks Unity Catalog
- Solve complex technical problems with strong analytical skills
- Debug and optimize solutions in support roles
- Gather business requirements and deliver solution presentations
About you
- At least 3 years of experience in developing cloud data ingestion and processing pipelines using at least 2 of the following: Microsoft Azure Data Factory, Microsoft Synapse, Microsoft Fabric, Databricks, AWS, GCP, Snowflake, or Hadoop
- Hands-on experience in using any or combination of BI tools such as Power BI, Tableau, Looker, Qlik
- Hands-on experience in using any or combination of Python, Pyspark, Scala, JavaScript and SQL
- Familiar with data modelling best practices for data engineers
- Familiar with CI/CD development using devops/Git
- Familiar with data architecture best practices on NoSQL databases, RDBMS, or Databricks Unity Catalog
- Strong analytical skills and enjoys solving complex technical problems
- Excellent debugging and optimization skills when needed in relation to support roles
- Good communication and presentation skills in relation to gathering business requirements and solution presentations
About us
As a global leader in Assurance, Tax, Strategy & transactions, and Consulting services, EY is using the finance products, expertise, and systems developed to build a better working world. 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. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Benefits
- Support, coaching and feedback from engaging colleagues
- Opportunities to develop new skills and progress your career