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Prepare Low Level Designs (LLDs) aligned with High Level Designs (HLDs) defined by project architects.
Build, deploy, and operationalise robust data processing systems based on approved designs.
Develop and optimise data pipelines using GCP services such as BigQuery, Dataflow, Dataproc, Airflow, and Looker.
Apply modern data pipeline patterns and creatively address product or platform limitations.
Act as a subject matter expert in GCP Data Engineering, supporting and mentoring junior team members.
Apply learnings from new technologies and practices to day‑to‑day delivery.
Lead small teams or projects end‑to‑end, from build through to closure, when required.
Contribute to organisational efficiency through process adoption, resource optimisation, and tooling improvements.
Actively contribute technical expertise to internal guilds and communities of practice.
An experienced data engineering professional with strong SQL expertise.
Proficient in the GCP ecosystem, including BigQuery, Dataflow, Dataproc, Looker, and related services.
Experienced with DBT, including model development, Jinja templating, and lineage generation.
Knowledgeable in Data Vault 2.0 concepts with hands‑on implementation experience on cloud data warehouses.
Bringing 6+ years of overall experience, with at least 2–4 years focused on GCP, DBT, and Data Vault 2.0.
Hold a relevant qualification such as B.E., B.Tech, BCA, MCA, BSc, or MSc in Computer Science or a related field.
A Google Cloud Certified Professional Data Engineer certification is advantageous.
Collaborative, adaptable, and committed to quality, timely delivery, and policy adherence.
Exposure to large‑scale, enterprise‑grade data platforms within a global organisation.
Opportunities to work on modern cloud data engineering solutions using industry‑leading tools.
A collaborative environment that values learning, knowledge sharing, and continuous improvement.
The chance to influence data engineering practices and contribute to technical communities and guilds.
Advanced optimisation techniques for cloud‑native data platforms on GCP.
Practical application of Data Vault 2.0 at scale in enterprise environments.
Leadership and delivery skills through ownership of small teams or projects.
Enhanced collaboration and stakeholder engagement within complex technology programmes.
LinkedIn: https://www.linkedin.com/company/vois/
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Instagram: https://www.instagram.com/voisglobal/
You can also chat with our employees to learn more about our projects: https://lnkd.in/dpkrcvR
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