Databricks Data Platform Engineer
Accenture is hiring a data engineer in Taguig to design, build, and maintain scalable ETL/ELT pipelines on the Databricks platform (Delta Lake, Auto Loader, DLT), enforcing data quality and governance across Bronze/Silver/Gold layers. Core stack: Python, PySpark, and hands-on cloud work on AWS, GCP, or Azure.
- Compensation
- Not disclosed
- Location
- Taguig, Philippines
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Proficiency in Python
- Proficiency in PySpark
- Hands-on cloud experience (AWS/GCP/Azure)
- Build scalable ETL/ELT pipelines using Databricks technologies (Delta Lake, Auto Loader, DLT)
- Apply best practices for data quality, validation, and governance across Bronze/Silver/Gold layers
- Design, develop, and maintain data solutions for data generation, collection, and processing in an enterprise environment
Full 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