Data Engineer

Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Position Overview We are seeking a highly skilled Senior Data Engineer to design, build, and optimize our next-generation data platform on Google Cloud Platform (GCP). In this role, you will be the backbone of our data architecture, responsible for developing robust batch and streaming data pipelines, handling complex file ingestions, and ensuring the absolute reliability of our data ecosystem. If you are a problem-solver who thrives on optimizing complex SQL queries, orchestrating intricate workflows, and troubleshooting high-throughput data streams, we want you on our team. Key Responsibilities • Pipeline Development: Design, develop, and maintain scalable, high-performance batch and streaming data pipelines using GCP Dataflow (Apache Beam). • Data Ingestion: Build robust ingestion frameworks to consume data from a variety of sources, including API endpoints, databases, and structured/unstructured file formats. • Orchestration: Author, schedule, and monitor complex data workflows using Cloud Composer / Apache Airflow. • Data Warehousing & Storage: Optimize data storage and retrieval in BigQuery and manage transactional data integrity within Cloud Spanner. • Monitoring & Troubleshooting: Proactively monitor pipeline health, diagnose bottlenecks, and troubleshoot data quality or performance issues in production. • Performance Tuning: Write and optimize complex, highly efficient SQL queries and manage schema evolutions. Required Qualifications & Skills: GCP Ecosystem -Strong, hands-on experience with Dataflow, Cloud Composer, and BigQuery. Working knowledge of Cloud Spanner is highly desirable. Data Streaming -Proven experience handling both batch and real-time/streaming data processing paradigms (e.g., Pub/Sub to Dataflow). Languages -Mastery of SQL (analytical and transactional) and proficiency in Python or Java (for Apache Beam/Airflow). Operations -Strong experience in monitoring, logging, and alerting (e.g., GCP Cloud Monitoring/Cloud Logging) and standard debugging practices. Data Engineering Fundamentals -Solid understanding of data modeling, ETL/ELT processes, and handling various file formats (Avro, Parquet, JSON, CSV). Nice-to-Have Qualifications • Google Cloud Certified Professional Data Engineer. • Experience with CI/CD pipelines for data infrastructure (Terraform, GitHub Actions). • Familiarity with data governance and security best practices on GCP (IAM, KMS, DLP). Additional Information: - The candidate should have minimum 2 years of experience in Google BigQuery. - This position is based at our Manila office. Minimum 2 year(s) of experience is required

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

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We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.