VOIS is seeking an experienced Data Engineering Specialist with strong hands-on expertise in Databricks on GCP, Python-based data engineering, and Spark processing. The individual will design, build, and optimize large-scale data pipelines across the GCP ecosystem, applying robust engineering practices, data quality frameworks, and cost-optimized solutions.
Requirements
- Strong expertise in Databricks on GCP including Delta Lake, notebooks/jobs, Unity Catalog, and cluster policies.
- Experienced in Cloud Data Fusion design, including pipeline management, error handling, and orchestration.
- Skilled in Dataproc Spark with experience building PySpark jobs, configuring ephemeral clusters, and handling initialization actions.
- Proficient in Python for data engineering including packaging, unit testing, type hints, and linting.
- Strong SQL skills, specifically with BigQuery including performance tuning, partitioning, and clustering.
- Familiar with GCP services such as Cloud Storage, Pub/Sub, and Cloud Composer/Airflow.
- Holds a qualification such as B.E., B.Tech, BCA, MCA, BSc, or MSc in Computer Science or a related field.
Benefits
- The opportunity to build and scale data solutions using leading GCP and Databricks technologies.
- Exposure to enterprise-level CI/CD, observability, and configuration-as-code practices.
- A collaborative environment where innovation, continuous learning, and technical excellence are encouraged.
- The chance to contribute to high-impact global data platforms.
To apply for this job please visit opportunities.vodafone.com.

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