Cloud Data Engineer: Hybrid Work, Growth & Mentorship

Monitor Deloitte; Manila; Ibrido; PHP 1.000.000 - 1.800.000; Tempo pieno

Vantaggi offerti da questo lavoro

Rewards platform

Training and certifications funding

Mentoring and coaching

Paid time off & holidays

Health and life insurance

Descrizione del lavoro

Deloitte Consulting Philippines Delivery Center is seeking a Cloud Consultant to help organizations migrate to the cloud and build scalable data platforms. You will design and operate data pipelines, develop dimensional models, and work with data warehouses and lakehouse architectures.

Lead the data engineering stack with Python, SQL, and modern tools, while collaborating with cross-functional teams in a hybrid work setup. This role offers opportunities for growth and deep technical impact.

Competenze

• Bachelor’s degree in Software Engineering, Information Technology, or equivalent.
• Has at least 4 years of experience in Data Engineering.
• Strong SQL (must-have).
• Experience with dbt.
• Hands-on experience with Databricks or Snowflake (at least one).
• Experience with Python (e.g. pandas / PySpark).
• Solid understanding of data warehousing concepts.
• Cloud Experience: Azure (preferred), AWS (preferred), GCP (nice to have).

Mansioni

• Build and maintain data pipelines (ETL/ELT).
• Develop and optimize data models (dimensional modelling).
• Work with data warehouses / lakehouse platforms.
• Ensure data quality and performance tuning.
• Support production workloads and ongoing enhancements.

Conoscenze

Strong SQL

Python (pandas / PySpark)

Data warehousing concepts

Formazione

Bachelor's degree in Software Engineering, Information Technology, or equivalent

Strumenti

dbt

Databricks

Snowflake

Azure

AWS

GCP

Airflow

Git

Microsoft Fabric

Descrizione del lavoro

Deloitte Consulting Philippines Delivery Center is seeking a Cloud Consultant to help organizations migrate to the cloud and build scalable data platforms. You will design and operate data pipelines, develop dimensional models, and work with data warehouses and lakehouse architectures.

Lead the data engineering stack with Python, SQL, and modern tools, while collaborating with cross-functional teams in a hybrid work setup. This role offers opportunities for growth and deep technical impact.