Senior Cloud Data Engineer — Build Scalable Data Pipelines

JobCubby; Hinoba-an; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

EY GDS Consulting is seeking a Cloud Senior Data Engineer to join the EY GDS Data Engineering Team. You will help build cloud data ingestion and processing pipelines and contribute to data architecture best practices.

The role requires hands-on experience with BI tools and programming languages, plus CI/CD and analytics skills. EY offers a dynamic, global environment with opportunities across industries and regions.

Qualifications

• 3+ years of experience in developing cloud data ingestion and processing pipelines using at least 2 of the following: Azure Data Factory, Synapse, Databricks, AWS, GCP, Snowflake, Hadoop.
• Hands-on experience with BI tools such as Power BI, Tableau, Looker, or Qlik.
• Hands-on experience with 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, RDBMS, or Databricks Unity Catalog.
• Strong analytical skills and problem solving.

Skills

Azure Data Factory

Power BI

Python

SQL

Data Modelling

CI/CD / DevOps

Tableau

Pyspark

JavaScript

Communication skills

Tools

Databricks

Snowflake

Hadoop

Git

Job description

EY GDS Consulting is seeking a Cloud Senior Data Engineer to join the EY GDS Data Engineering Team. You will help build cloud data ingestion and processing pipelines and contribute to data architecture best practices.

The role requires hands-on experience with BI tools and programming languages, plus CI/CD and analytics skills. EY offers a dynamic, global environment with opportunities across industries and regions.