Absa Group Limited (Absa) has forged a new way of getting things done, driven by bravery and passion, with the readiness to realise the possibilities on our continent and beyond.
This role provides an exciting opportunity to roll out a new strategic initiative within the firm-- Enterprise Infrastructure Big Data Service. The Big Data Developer serves as a development and support expert with responsibility for the design, development, automation, testing, support and administration of the Enterprise Infrastructure Big Data Service. The roles require experience with both Hadoop and Kafka. This will involve building and supporting a real time streaming platform utilized by Absa data engineering community. You will be responsible for developing features, ongoing support and administration, and documentation for the service. The platform provides a messaging queue and a blueprint for integrating with existing upstream and downstream technology solutions.
Job Description
Candidate Description
You will have the opportunity of working directly across the firm with developers, operations staff, data scientists, architects and business constituents to develop and enhance the big data service.
Development and deployment of data applications
Design & Implementation of infrastructure tooling and work on horizontal frameworks and libraries
Creation of data ingestion pipelines between legacy data warehouses and the big data stack
Automation of application back-end workflows
Building and maintaining backend services created by multiple services framework
Maintain and enhance applications backed by Big Data computation applications
Be eager to learn new approaches and technologies
Strong problem solving skills
Strong programming skills
Background in computer science, engineering, physics, mathematics or equivalent
Worked on Big Data platforms (Vanilla Hadoop, Cloudera or Hortonworks)
Preferred: Experience with Scala or other functional languages (Haskell, Clojure, Kotlin, Clean)
Preferred: Experience with some of the following: Apache Hadoop, Spark, Hive, Pig, Oozie, ZooKeeper, MongoDB, CouchbaseDB, Impala, Kudu, Linux, Bash, version control tools, continuous integration tools
20 Initiatives to Boost Employee EngagementAre you struggling with improving employee engagement at work? This article covers everything from better communication to building a strong workplace culture.
30 Common Interview Mistakes to AvoidThis piece examines 30 of the most common mistakes applicants make at interviews, so you know how to better avoid them.