Data Engineer - Databricks Pipelines & Data Quality

Accenture in the Philippines; Philippines; On-site; PHP 600,000 - 900,000; Full time

Job summary

Accenture in the Philippines is seeking a Data Engineer to design, develop, and maintain data solutions supporting data generation, collection, and processing. You will build data pipelines, ensure data quality, and implement ETL processes to migrate data across systems.

You will optimize queries, design scalable pipelines using Spark within Databricks, and collaborate with cross-functional teams to translate requirements into technical specifications.

Qualifications

• 2+ years of experience with Databricks Unified Data Analytics Platform.
• Strong knowledge of data pipeline architecture and ETL/ELT processes.
• Experience with cloud-based data platforms and distributed computing.

Responsibilities

• Design, develop and maintain data pipelines for data generation and processing.
• Optimize queries and implement snowflake schema and dimensional tables.
• Collaborate with cross-functional teams to gather requirements and translate into technical specs.
• Monitor, optimize and document data workflows for performance and reliability.
• Stay updated on industry trends and best practices in data engineering.

Skills

Databricks platform

Data pipelines

ETL/ELT

Apache Spark

Unity Catalog

Tools

Databricks

Spark

Job description

Accenture in the Philippines is seeking a Data Engineer to design, develop, and maintain data solutions supporting data generation, collection, and processing. You will build data pipelines, ensure data quality, and implement ETL processes to migrate data across systems.

You will optimize queries, design scalable pipelines using Spark within Databricks, and collaborate with cross-functional teams to translate requirements into technical specifications.