Job DescriptionHello Future Data Engineer I
Welcome to FNB, the home of the #changeables. We design for the shapeshifters and deliver products and services that make us incredibly proud of people that make it happen.
As part of our talent team, you will be surrounded by unique talents, diverse minds, and an adaptable environment that lives up to the promise of staying curious. Now's the time to imagine your potential in a team where experts come together and ignite effective change.
To ensure effective movement, collection, integration, storage and provisioning of data to meet business objectives through sound understanding of business unit requirements and frequent collaboration with relevant stakeholders (such as Enterprise Architecture, Database and Solution Architects, Business Intelligence Developers, Data Scientists and Product Owners, etc).Are you someone who can: Design, develop and maintain systems and provide solutions.Develop and maintain software.Develop integral features that support machine learning models.Build data pipelines and algorithms that meet specific business requirements while ensuring data quality and integrity.Build and maintain large scale Relational and Non-Relational Databases.Develop and maintain high performance batch and real-time streaming systems.Take ownership of data delivery end-to-end for specific business use cases.Set and manage SLAs.Work with team and stakeholders to continually assess and redefine data technology stack to support changing data patterns and business use cases.Bridge the gaps between Data Engineering, Business, and Product by collaborating with all parties to understand data needs.Work closely with Head of Data and the Data Architect to fulfill the department's quarterly objectives and ensure effective solutions.Design, build, and evolve custom ETL processes for feeding consumer systems.Design, implement, QA and deploy ETL transformations to enhance the Data Eco System and workflows to load.Analyse and archive customer transactional data.Ensure data quality is maintained throughout all managed systems.Perform data quality analysis.You will be an ideal candidate if you: Preferred Qualification: Bachelor's Degree in Computer Science, Information Technology.Experience: 2/3 years relevant experience.Min 3 years Java programming experience required.Experience working with Big Data technology (ie. Apache Hadoop, Spark, Kafka, Hive etc.) beneficial.Experience in Scala beneficial.Strong analytical mindset.Curiosity about data and machine learning.You will have access to: Opportunities to network and collaborate.Challenging work.Opportunities to innovate.We can be a match if you are: Curious & courageous - driven by always wanting to know more and learn more.Obsessed with mastery - you know what it takes to become good at what you do and are constantly pushing yourself to do it.Are you interested to take the step? We look forward to engaging with you further. Apply now! Job DetailsApplication Closing Date: 02/09/24
All appointments will be made in line with FirstRand Group's Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.
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About UsServing retail and commercial customers, FNB is so much more than a bank, offering life and short-term insurance, innovative savings and investment products, and a digital universe of solutions that help customers navigate challenges and opportunities of everyday life. It has a market-leading app and a globally recognised rewards system in eBucks. FNB has won multiple awards, including the Strongest Banking Brand in the World in the Brand Finance Banking 500 2023 report. FNB represents multiple opportunities for you to build an exciting and rewarding career. Especially if you want to change people's lives, in an authentic, profound and sustainable way.
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