Senior Data Engineer

Jobtailor; Philippines; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

EY GDS Data Engineering Team is seeking a Cloud Senior Data Engineer to develop cloud data ingestion and processing pipelines and support project delivery using cloud platforms and data engineering technologies. The role involves applying BI tools and programming languages to build data solutions while gathering business requirements and presenting them to stakeholders.

The candidate will debug and optimize solutions in support roles and collaborate with interdisciplinary EY Consulting teams

Qualifications

• At least 3 years of experience developing cloud data ingestion and processing pipelines.
• Experience with at least 2 of Azure Data Factory, Synapse, 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.

Responsibilities

• 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.

Skills

Cloud Data Ingestion

Data Processing Pipelines

Python

SQL

PySpark

Scala

DevOps

Data Modeling

Analytical Skills

Communication Skills

Consulting Skills

Tools

Microsoft Azure

AWS

GCP

Databricks

Snowflake

Hadoop

Power BI

Tableau

Looker

Qlik

Databricks Unity Catalog

Git

Job description

• 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