Data Engineer Associate at KPMG

Date Posted: March 5, 2021, 6:40 a.m.

KPMG

Job Description

The Nairobi office serves as the regional coordinating office providing the required networking to facilitate delivery of services on a timely basis to meet and exceed our clients’ expectations.

Key responsibilities

The overall objective of the role is to help bridge the gap between technical platform needs ( i.e. big data engineering) and business needs. The engineer skews towards big data engineering but also brings more modelling capabilities than a pure big data software engineer. In this way, they will play an important “utility” role on teams including helping to enable overall solutioning and full-scope architecture, design, and build. They will be able to complete intermediate-level big data engineering tasks, basic modelling tasks, and business solutioning and executive communication tasks. They will design software architecture following best practices after understanding customer requirements and enterprise environments.

 

Qualifications and experience

Strong experience with at least one large scale and/or distributed processing methodology such as Hadoop, Storm, Spark

Demonstrated ETL solution design and build expertise, and work stream management skills

A Bachelor’s degree in Computer Science, Information Technology or other related fields

 

Responsibilities

Assess, capture, and translate complex business issues and solution requirements into a structured big data engineering use case, including rapid learning of industry/domain/client dynamics and development of effective work stream plans

Utilize a hypothesis-driven problem-solving  approach to design, construct, and rapidly test/ iterate big data platforms and architectures that will enable running models and visualizations to reveal insight and opportunities for the client

Deliver client project data engineering work stream through direct ownership of data ingestion, engineering, transformation, automation, and back-end visualization setup, aswell as client communication deliverables

Support build of big data environments that enable analytics solutions on a variety of big data platforms including cloud as required by the client, and create robust documentation of solutions, architecture, automation workflows, and operation procedures

Proactively broaden and deepen client relationships by working with varying levels of client team members

 

Skills and attributes

The ideal candidate must have;

Above-average ability to rapidly ingest, transform, engineer, and visualize data, both for ad hoc and product-level (e.g., automated) data  & analytics solutions

Strong communication skills to explain technical concepts to businesspeople, and to explain business concepts to technical resources

Strong business consulting acumen Fast learning and analytical thinking skills

Fast learning and analytical thinking skills

Experience working in a complex, fast moving environment.

The ability to work effectively with minimal supervision

Willingness to be a team player

 

We offer

A fantastic opportunity to work in exciting professional services firm

Continuous learning and development

Exposure to multi-disciplinary client service teams

Unrivaled space to grow and be innovative

 

How To Apply

None

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