Senior Data Engineer: BigQuery & Data Pipelines

Accenture

Manila

On-site

PHP 600,000 - 900,000

Full time

48 hours ago
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Job summary

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

Collaborate with cross‑functional teams to optimize data workflows, monitor pipelines and document best practices. Must have 2+ years with Google BigQuery, strong data warehousing knowledge and cloud experience.

Qualifications

  • Expert proficiency in Google BigQuery.
  • Strong knowledge of data warehousing concepts and cloud-based data platforms.
  • Experience in 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

  • Operate independently as an SME and contribute to team discussions.
  • Provide data solutions and problem-solving across projects.
  • Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
  • Monitor and troubleshoot data pipelines to ensure reliable data flow.
  • Document processes and best practices to support knowledge sharing.

Skills

Google BigQuery
Data warehousing
SQL queries
Data pipeline orchestration
Data quality checks
Performance tuning

Job description

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

Collaborate with cross‑functional teams to optimize data workflows, monitor pipelines and document best practices. Must have 2+ years with Google BigQuery, strong data warehousing knowledge and cloud experience.

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