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Data Engineer for Cloud Platforms
Há 1 mês
Vodafone is a leading telecommunications company that offers innovative solutions to its customers.
We're seeking a talented Data Engineer for Cloud Platforms to join our team
Job DescriptionThe Data Engineer for Cloud Platforms will play a key role in supporting the strategy and deliverables related to cloud platforms and data engineering.
You will be a core member of agile teams delivering data pipelines and capabilities within the organization through building and automating data flows.
Your responsibilities will include designing, developing, and integrating ETL/ELT data pipelines for necessary data from several sources for analysis and technology actions.
You will also build applications and products that make use of large volumes of data and generate outputs that allow actions that generate incremental value.
Additionally, you will deliver and implement core capabilities (frameworks, platform, development infrastructure, documentation, guidelines, and support) to speed up delivery in the Big Data Programme, assuring quality, performance, and alignment to the technology blueprint and patterns.
You will support stakeholders and functions in obtaining benefiting business value from operational data.
You will design and produce high-performing, stable end-to-end data applications to 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 the necessary data from local and group sources onto GCP platform.
Accountable to ensure delivery of solution & use case enablement, GCP project & resource enablement, data source ingestion for Networks sources, application production rollouts, and code/execution optimisation for big data solutions.
Working with key stakeholders such as 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, including solution architectural decisions aligned with the platform architecture.
Investigating and driving new technologies adoption to identify where they can bring benefits.
Ensuring common data architecture, structure, and definition, data cleanings, and data integrity.
Supporting data security & privacy, and thorough documentation processes.
What You Need to Succeed- Degree in Computer Science or related field
- 3 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 developing and optimizing 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 like Hadoop, Airflow, NiFi, Kafka, various data formats, etc.
- Background in telecommunication networks and its related data sources, its strengths, weaknesses, semantics, and formats
- Portuguese/English language proficiency
$120,000 - $180,000 per annum
