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Senior Data Engineer

Senior Data Engineer

Ipsos in MalaysiaKuala Lumpur, Kuala Lumpur, Malaysia
30+ days ago
Job description

Embark on an extraordinary career journey at Ipsos, where cutting‑edge AI work seamlessly intertwines with our day‑to‑day operations. With a staggering global presence of 16,600 talented minds across 89 countries, we are one of the largest and best‑known research companies. Join us on a quest for knowledge and innovation, where you'll have the privilege of collaborating with the most naturally curious researchers and making a profound impact on both local and global brands.

As a curious and intuitive individual, an enthusiastic professional fueled by a passion for knowledge creation, Ipsos beckons you to immerse yourself fully into finding the optimal solutions for our clients. Our environment is a fertile breeding ground for entrepreneurship and forward thinking, attracting like‑minded professionals who possess drive, intelligence, and enthusiasm. Working at Ipsos is dynamic and challenging, never a dull moment!

Responsibilities

  • Develop robust, scalable data pipelines and optimise data storage solutions on GCP.
  • Implement ETL processes and CI / CD pipelines to ensure clean, structured data ready for use.
  • Work with data scientists to integrate models into production environments and provide the guardrails and advice as they develop.
  • Provide technical support, troubleshoot issues, and research new technologies to enhance capabilities.
  • Document pipelines and the platform including architectures and user guides, helping to enforce data management standards.
  • Engage in DataOps practices and improve data delivery performance.

Qualifications

  • A minimum of 3 years relevant experience with scalable data pipelines using Argo on GKE, SQL on BigQuery, Python libraries like Pandas, GCP Cloud Composer / Airflow and R.
  • Comfortable with APIs and Cloud storage systems.
  • Experience with containerisation (Docker) and orchestration (Kubernetes).
  • Familiarity with Terraform and data systems optimisation.
  • Commitment to data quality and experience in synthetic data, AI / ML model deployment.
  • Excellent communication skills and a collaborative and positive mindset.
  • Willingness to learn.
  • GCP certifications are a plus.
  • Required Technical Skills

  • GCP : Cloud Composer / Airflow, GCS, BigQuery, GKE, Artifact Registry, Vertex AI, App Engine, Data Store, Secret Manager, Pub / Sub.
  • CI / CD & PM Tools : GitHub.
  • Seniority level : Mid‑Senior level

    Employment type : Full‑time

    Job function : Information Technology, Project Management, and Consulting

    Industries : Market Research

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