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https://jobs.vodafone.com/careers/job/563018697521381
https://vodafone.eightfold.ai/careerhub/explore/jobs/563018697521381
Job ID 286248
About this Role
We are seeking a Data Engineer to design, build, and maintain scalable and reliable data pipelines that enable highquality analytics and data consumption across the organisation. This role focuses on developing efficient ETL/ELT solutions using Scala, SQL, and Apache Spark, working with cloud data platforms on Google Cloud Platform (GCP) and supporting workloads on OCI. The individual will collaborate closely with analytics, data science, and product teams to ensure data reliability, performance, and availability at scale.
What you will do
- Build, maintain, and optimise scalable and reliable data pipelines for analytics and downstream data consumption.
- Design and develop ETL/ELT processes using Scala, SQL, and Apache Spark for largescale data processing.
- Work with distributed systems and big data technologies to process highvolume datasets efficiently.
- Leverage cloudnative data services on GCP and support workloads on OCI where required.
- Ensure data quality, performance, availability, and reliability across all data pipelines.
- Collaborate with analytics, data science, and product teams to deliver clean, wellstructured, and consumable datasets.
Who you are
- 4 to 6yrs experienced data engineering professional with strong handson exposure to big data processing.
- Skilled in distributed data processing frameworks with a solid understanding of performance optimisation.
- Experienced in designing robust, scalable, and maintainable data architectures.
- Proficient in Scala programming and advanced SQL for complex data transformations and analytical queries.
- Handson with Apache Spark and big data ecosystems, including Cassandra and Redis.
- Experienced with GCP services such as BigQuery, Cloud Composer, and Cloud Storage.
- Comfortable working in multicloud environments, with exposure to OCI considered an advantage.
- A collaborative communicator with strong problemsolving skills and a focus on data quality and reliability.
- German language proficiency is desirable.
Whats in it for you
- Opportunities to work on largescale, cloudbased data platforms with global impact.
- Exposure to complex data engineering challenges across multicloud environments.
- Collaboration with diverse, crossfunctional teams across analytics, data science, and product domains.
- A supportive environment that values learning, inclusion, and continuous improvement.
What skills you will learn
- Advanced optimisation techniques for distributed data processing at scale.
- Deeper expertise in GCP data services and exposure to OCI cloud capabilities.
- Best practices for building reliable, highquality data pipelines in enterprise environments.
- Enhanced collaboration skills through close work with analytics and product stakeholders.
