Big Data Solutions Architect
4 semanas atrás
Job Overview
The Big Data Engineer plays a key role in Digital Engineering team by driving strategy and deliverables related to Cloud Platform and Data Engineering. The role involves designing, developing, and integrating ETL/ELT data pipelines for various sources, as well as building applications that utilize large volumes of data to generate incremental value.
Key Responsibilities
- Design and develop data pipelines for necessary data from several sources for analysis and technology actions.
- Build applications that make use of large volumes of data and generate outputs that allow actions to generate incremental value.
- Deliver and implement core capabilities, including frameworks, platforms, development infrastructure, documentation, guidelines, and support, to speed up delivery in the Big Data Programme.
- Support stakeholders and functions in obtaining business value from operational data.
- Design and produce high-performing, stable end-to-end data applications that perform cost-efficient and complex processing of batch and streaming massive volumes of data in a multi-tenancy big data platform in the cloud.
- Ingest and automate necessary data from local and group sources onto the GCP platform.
- Ensure delivery of solution and use case enablement, GCP project and resource enablement, data source ingestion for Networks sources, application production rollouts, and code/execution optimisation for big data solutions.
- Work with key stakeholders, including the Group Big Data/Neuron team, ADS, ACoE, local market IT, and Big Data teams, to define the strategy for evolving the Big Data capability.
- Investigate and drive new technologies adoption to identify benefits.
- Ensure common data architecture, structure, and definition, data cleanings, and data integrity.
- Support data security and privacy, and thorough documentation processes.
Requirements
- Degree in Computer Science or related field.
- Three years of hands-on Big Data Engineering experience, ideally over a Cloud computing environment.
- Knowledge of cloud providers, such as GCP, AWS, or Azure.
- Expertise in developing and optimising Apache Spark.
- Skilled in OOP languages, such as Python, Java, or Scala, SQL, and bash scripting.
- Experience in implementing large-scale batch and streaming based Big Data solutions.
- Understanding of big data ecosystems and tools, including Hadoop, Airflow, NiFi, Kafka, various data formats, etc.
- Background in telecommunication networks and its related data sources, strengths, weaknesses, semantics, and formats.
- Portuguese/English language proficiency.
Note
Vodafone is passionate about Inclusion for All and creating a workplace where everyone can thrive, whatever their personal or professional background. If you're excited about this role but your experience doesn't align exactly with every part of the job description, we encourage you to apply as you may be the right candidate for this role or another role, and our recruitment team can help you see how your skills fit in.
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