Big Data Support Engineer

Company Details
Industry: Banking
Description: Absa Bank Limited (Absa) is a wholly owned subsidiary of Barclays Africa Group Limited. Absa offers personal and business banking, credit cards, corporate and investment banking, wealth and investment management as well as bancassurance. Barclays Africa Group Limited is 62.3% owned by Barclays Bank … Absa Bank Limited (Absa) is a wholly owned subsidiary of Barclays Africa Group Limited. Absa offers personal and business banking, credit cards, corporate and investment banking, wealth and investment management as well as bancassurance. Barclays Africa Group Limited is 62.3% owned by Barclays Bank PLC and is listed on the JSE Limited. The Group is one of Africa’s major financial services providers offering personal and business banking, credit cards, corporate and investment banking, wealth and investment management as well as bancassurance. The Group was formed through combining Absa Group Limited and Barclays’ African operations on 31 July 2013. Reflecting the enlarged group’s pan-African focus, the Group's name changed from Absa Group Limited, to Barclays Africa Group Limited on 2 August 2013. Registered head offices are in South Africa and the Group has majority stakes in banks in Botswana, Ghana,Kenya, Mauritius, Mozambique, Seychelles, South Africa, Tanzania (Barclays Bank Tanzania and National Bank of View more View less
Job Details
Job Type: Full Time
Workplace Type: On-site
Qualification: Diploma
Job Experience: Mandatory
Job Location: Nairobi County, Kenya
Closing Date: Undisclosed
Salary: Undisclosed
Other Pay: Benefits
Job Category: Engineering
Job Description

Job Summary

  • Data Engineering is responsible for the central data platform that receives and distributes data across the bank. This is a multi-platform environment and leverages a blend of custom, commercial and open-source tools to manage and support thousands of critical data-related jobs. These jobs are supported and updated in line with changes across the landscape to avoid disruption to downstream data consumers.

Job Description

  • In this role, you will be part of the Data Operations team that is responsible for supporting all the applications on the Hadoop ecosystem. This role expands in maintaining changes on datasets and optimisation activities on all applications, including new development. They therefore need to understand basic programming to enable them to manage Big Data and to transfer all data to Hadoop.

Job Experience & Skills Required:

  • 2+ years’ experience working in Big data environment, optimising and building big data pipelines, architectures and data sets with e.g. Java, Scala, Python, Hadoop, Apache Spark and Kafka
  • Familiarity with Hadoop ecosystem and its components
  • Good knowledge of the concepts of Hadoop
  • Solid experience in a working environment in Big Data development utilising SQL or Python
  • Experience in Big Data development using Spark
  • Experience in Hadoop, HDFS and MapReduce
  • Experience in database design, development and data modelling

The following additional knowledge, skills and attributes are preferred:

  • Good knowledge in back-end programming, specifically java
  • Experience with development in a Linux environment and its basic commands
  • Ability to write reliable, manageable, and high-performance code
  • Should have basic knowledge of SQL, database structures, principles, and theories
  • Knowledge of workflow/schedulers
  • Strong collaboration and communication skills
  • Strong analytical and problem-solving skills

Responsibilities

  • Support pipelines end to end
  • Build enhancements and new developments
  • Build and deploy new data pipelines
  • Identify optimisation opportunities
  • Improvement on recovery time in case of prod failures
  • Test prototypes and oversee handover to the Data Operations teams
  • Attend and contribute to regular team and User meetings
  • Responsible for the actual coding or programming of Hadoop applications
  • High-speed querying

Education

  • Bachelor's Degree: Information Technology
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