Big Data Engineer Job in Kenya

Job Title: Big Data Engineer
Hiring Organization: Safaricom
Location – Locality: Nairobi
Location – Region: Kenya
Industry: Telecommunication
Job Type: Full Time
Salary: KES Competitive
Date Posted: 01/17/2024

We are the leading telecommunication company in East Africa. Our purpose is to transform lives by connecting people to people, people to opportunities and people to information. We keep over 42 million customers connected and play a critical role in the society, supporting over one million jobs both directly and indirectly while our total economic value was estimated at KES 362 Billion ($ 3.2 billion) for the 12 months through March 2021. We are listed on the Nairobi Securities Exchange (NSE) and with annual revenues of close to KES 298 Billion ($2.5 billion) as at March 2022. We were founded in 1997 as a fully owned subsidiary of Telkom Kenya before a 40 percent acquisition by Vodafone Group PLC in May 2000, and a public offering of 25 percent shares through the NSE in 2008. Under the management of Vodafone Group PLC, we welcomed Michael Joseph, as our first CEO, a few months later in July of 2000. He led the company’s growth to accommodate 16.71 million subscribers from the previous 20,000, largely owing to innovative products like M-PESA in 2007.
Reporting to the Big Data Engineering Lead the position holder will design, build and deliver on the big data platform which will serve as Safaricom’s single source of truth. The platform will be used to continuously deliver on Safaricom’s overall data analytics strategy.

Responsibilities

Design, architect and build solutions and tools for the big data platform.

Mediate and coordinates resolution of software project deliverables using agile methodology.

Develop pipelines to ingest data into the big data platform based on business demands and use cases.

Develop analytical platforms that will be used to avail data to end users for exploration, advanced analytics and visualizations for day-to-day business reporting.

Provide guidance and advise to technology teams on the best use of latest technologies and designs to deliver a best-in-class platform in the most cost-effective way.

Develop automated monitoring solutions to be handed over to support teams to run and operate the platform efficiently.

Automate and productionize data science models on the big data engineering platform.

Qualifications

BS or MS in computer science or equivalent practical experience

At least 2-3 years of coding experience in a non-university setting.

Experience in Object Oriented development

Proficient understanding of distributed computing principles

Experience in collecting, storing, processing and analyzing large volumes of data.

Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming

Experience with various messaging systems, such as Kafka or RabbitMQ

Experience with NoSQL databases, such as HBase, Cassandra, MongoDB

Knowledge and/or experience with Apache NiFi and Kafka

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