Senior Data Engineer - BigQuery & Data Pipelines

Accenture in the Philippines

Taguig

On-site

PHP 800,000 - 1,100,000

Full time

2 days ago
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Job summary

Accenture in the Philippines is seeking a Data Engineer to design, develop, and maintain data solutions that generate, collect, and process data. You will create 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 optimize data workflows, monitor pipelines, and troubleshoot issues to ensure reliable data flow in a cloud-based environment.

Qualifications

  • Expert proficiency in Google BigQuery.
  • Strong knowledge of data warehousing concepts and cloud-based data platforms.
  • Experience designing and optimizing complex SQL queries for large datasets.
  • Familiarity with data pipeline orchestration and workflow automation tools.
  • Ability to implement data quality checks and validation mechanisms.
  • Proficient in performance tuning and cost optimization strategies for cloud data environments.

Responsibilities

  • Work independently and become an SME; participate in team discussions.
  • Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
  • Monitor and troubleshoot data pipelines to ensure smooth and reliable data flow.
  • Document processes and best practices to support knowledge sharing within the team.

Skills

Google BigQuery
Data warehousing concepts
SQL queries
Data pipelines
Data quality checks
Performance tuning

Tools

Workflow orchestration tools

Job description

Accenture in the Philippines is seeking a Data Engineer to design, develop, and maintain data solutions that generate, collect, and process data. You will create 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 optimize data workflows, monitor pipelines, and troubleshoot issues to ensure reliable data flow in a cloud-based environment.

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