2 дня назад
Data Engineering Specialist (AWS/GCP)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineering Specialist (AWS/GCP): Designing, building, and supporting data products and end-to-end pipelines for telecommunications services with an accent on Ab Initio, Apache Spark, Apache NiFi, and multi-cloud engineering. Focus on optimizing parallel data processing, tuning batch and streaming workloads, improving CI/CD automation, and developing junior data engineers.
Location: Belfast or London, United Kingdom; hybrid working with 3 days per week in the office and 2 days from anywhere
Salary: Competitive plus benefits
Company
is a UK communications group operating brands including BT, EE, Openreach, and Plusnet, serving consumers, businesses, public-sector organizations, and communications providers.
What you will do
- Design, develop, and maintain end-to-end data pipelines using Ab Initio.
- Build scalable batch and streaming workloads with Apache Spark, PySpark, and Scala.
- Develop and orchestrate real-time and near-real-time data ingestion flows with Apache NiFi.
- Optimize ETL/ELT jobs and analyze bottlenecks across Spark jobs, NiFi processors, and Ab Initio graphs.
- Improve automated testing and deployments through CI/CD pipelines.
- Present product developments, share knowledge with stakeholders, and line-manage a small team of junior data engineers.
Requirements
- Experience building Big Data solutions with Hadoop, AWS, or GCP.
- Strong expertise in Ab Initio, including GDE, PDL, Conduct>IT, Express>IT, and EME, with parallel processing and component optimization.
- Hands-on experience with Apache Spark, including Spark SQL, Spark Streaming, and performance tuning.
- Practical experience designing and securing Apache NiFi flows, tuning processors, and handling errors.
- Working knowledge of Scala, Java, Python, Kafka, Kinesis, BigQuery, Dataflow, BigTable, Terraform, and SQL.
Nice to have
- Knowledge of Infrastructure as Code and Continuous Integration and Deployment practices.
- Experience with Atlassian tools, Git, or SVN.
- Experience presenting technical issues and outcomes to team members and Product Owners.
- Experience or interest in managing and developing team members.
- Experience building new solutions and supporting existing data products and platforms.
Culture & Benefits
- Agile principles centered on openness, transparency, and continuous improvement.
- Opportunities for internal and external training, learning, and applying new technologies.
- 10% on-target annual bonus.
- Private GP access, paid carers leave, and equalized maternity, paternity, and adoption leave.
- Pension scheme with 5% employee and 10% employer contributions, holiday purchase, and optional healthcare, dental, and gym benefits.
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