Databricks Data Engineer: Pipelines, Quality & Cloud

8002 Accenture Inc Company; Taguig; On-site; PHP 700,000 - 1,300,000; Full time

Job summary

Accenture Manila is seeking a Data Engineer to design, develop, and maintain data solutions that support data generation, collection, and processing. You will build and manage data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems.

You will collaborate with team members and stakeholders to enable data-driven decision making, optimize data workflows, and document data processes.

Qualifications

• Minimum 1 year of experience with Databricks Unified Data Analytics Platform.
• Experience in designing data pipelines and ETL processes.
• Familiarity with cloud-based data storage and processing solutions.
• Ability to troubleshoot and resolve data-related issues efficiently.
• Understanding of data governance and quality assurance practices.

Responsibilities

• Perform independently and become an SME.
• Active participation in team discussions.
• Provide solutions to work-related problems.
• Collaborate with cross-functional teams to deliver scalable data solutions.
• Monitor and optimize data workflows to improve performance and reliability.
• Document data processes and maintain clear communication within the team.

Skills

Databricks Unified Data Analytics

Data pipeline development

Data integration

Cloud-based data storage/processing

Troubleshooting data issues

Data governance & quality assurance

Tools

Databricks

Job description

Accenture Manila is seeking a Data Engineer to design, develop, and maintain data solutions that support data generation, collection, and processing. You will build and manage data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems.

You will collaborate with team members and stakeholders to enable data-driven decision making, optimize data workflows, and document data processes.