Absa Bank Limited

Banking

SpecialistSupportEngineer:DataOps

Sandton, South Africa FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Specialist Support Engineer: DataOps at Absa Bank Limited. Skills: DataOps, Big Data, Hadoop, Spark. Manage assigned team. Oversee development plans”

What You'll Achieve.

Improvement on recovery time in case of prod failures

Industry & Context.

Banking
Problems you'll solve

analytical and problem-solving skills

What They're Looking For.

Must Have

3+ years’ experience working in Big data environment, optimising and building big data pipelines, architectures and data sets, Java, Scala, Python, Hadoop, Apache Spark, Kafka, Minimum one year experience with Scala programming language, Minimum one year experience managing a team, 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

Nice to Have

Good knowledge in back-end programming, specifically java, Experience with development in a Linux environment and its basic commands, Understanding of Cloud technologies and migration techniques, Understanding of data streaming and the intersection of batch and real time data, Ability to write reliable, manageable, and high-performance code, basic knowledge of SQL, database structures, principles, and theories, Knowledge of workflow/schedulers, collaboration and communication skills, analytical and problem-solving skills, Experience in Quality Assurance, Experience in Stakeholder Management, Experience in Testing

What You'll Do.

Oversee development plans

Support pipelines end to end

Build new data pipelines

Deploy new data pipelines

Identify optimisation opportunities

Drive optimisation opportunities

Manage handover of new applications

Improve recovery time

Oversee handover to Data Operations

Contribute to team meetings

Contribute to User meetings

Coding Hadoop applications

Programming Hadoop applications

How You'll Work.

Team & Collaboration

Work as part of an integrated tribe; Provide guidance and peer review; Attend and contribute to regular team meetings; Attend and contribute to regular User meetings; collaboration and communication skills

Communication Scope

collaboration and communication skills

Process & Methodology

Manage an assigned team, Oversee development plans, Manage the handover of new applications

Full Job Description

### **Empowering Africa’s tomorrow, together…one story at a time.** With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group. _**Job Summary**_ Work as part of an integrated (run & build) tribe in lower complexity environments to provide enterprise wide application support across multiple stakeholder groups by maintaining & optimizing enterprise-grade applications (tech products & services). **_Job Description_** **Team Context** 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. **Responsibilities** * Manage an assigned team through day-to-day support tasks * Oversee development plans for the team and provide mentorship to the team * Provide guidance and peer review * Support pipelines end to end * Build and deploy enhancements and new developments or new data pipelines * Identify and drive optimisation opportunities across the environment * Manage the handover of new applications ensuring that required standards and practices are met * 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 **Job Experience & Skills Required:** * 3+ years’ experience working in Big data environment, optimising and building big data pipelines, architectures and data sets with e.g. Java, Scala, Py

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