Databricks Data Platform Engineer

8002 Accenture Inc Company; Taguig; On-site; PHP 720,000 - 900,000; Full time

Job summary

Accenture is seeking a data engineer to design, develop, and maintain data solutions for data generation, collection, and processing in a dynamic enterprise environment. You will build scalable ETL/ELT pipelines using Databricks technologies including Delta Lake, Auto Loader, and DLT, and apply best practices for data quality, validation, and governance across Bronze/Silver/Gold layers.

Proficiency in Python and PySpark is required, with hands-on cloud experience (AWS/GCP/Azure) to support

Qualifications

• 1+ year of experience in data engineering or related field.
• Experience building ETL/ELT pipelines using Databricks.
• Proficient in Python and PySpark.
• Experience with cloud platforms (AWS, GCP, Azure).

Responsibilities

• Design, develop and maintain data solutions for data generation, collection, and processing.
• Create data pipelines and ETL/ELT processes to migrate data across systems.
• Ensure data quality and implement data governance and security controls.
• Collaborate with stakeholders to enable data sharing and dashboarding using BI tools.

Skills

Python

PySpark

Databricks

Delta Lake

Auto Loader

DLT

Data Pipelines

Cloud Platforms (AWS/GCP/Azure)

Tools

Databricks

Power BI

Tableau

Looker

Unity Catalog

Job description

Accenture is seeking a data engineer to design, develop, and maintain data solutions for data generation, collection, and processing in a dynamic enterprise environment. You will build scalable ETL/ELT pipelines using Databricks technologies including Delta Lake, Auto Loader, and DLT, and apply best practices for data quality, validation, and governance across Bronze/Silver/Gold layers.

Proficiency in Python and PySpark is required, with hands-on cloud experience (AWS/GCP/Azure) to support