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Specialist Support Engineer: DataOps Job Absa Bank
Banking Jobs,
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
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, Python, Hadoop, Apache Spark and Kafka
- Minimum one year experience with Scala programming language
- Minimum one year experience managing a team
- Cross domain knowledge
- 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
- 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
- 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
- Experience in Quality Assurance
- Experience in Stakeholder Management
- Experience in Testing
How to Apply
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