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EY GDS

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Senior Data Engineer

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Summary

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.

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

  • The freedom and flexibility to handle your role in a way that's right for you

  • Education and coaching alongside practical experience to ensure personal development

  • Individual progression plan to control your own development

  • Work with inspiring and meaningful projects

  • Part of an interdisciplinary environment that emphasizes high quality and knowledge exchange


Skills

What Senior Data Engineering jobs ask for — and how much of it you have →
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See also

Data Engineering jobs by country — openings, pay and top skills →

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