At Liberty, we employ more than 6,000 people across 7 businesses in 18 African countries.
Every day, our employees grow their knowledge by working with diverse groups of people who specialise in a wide range of skills across insurance, asset management, investment, and health products.
We continually seek to engage, develop, recognise, and reward the people who make our business great.
To build and manage AWS data pipelines to ensure systems are scalable, reliable, and optimized for analytics, machine learning, and various business needs.
Key ResponsibilitiesDesign and implement large scale enterprise data solutions by using a combination of the following technologies – AWS Glue, AWS Step-functions, AWS RedShift, AWS Lambda, AWS Athena, AWS Lakeformation, Spark, Python.Analyze, re-architect and re-platform on-premise data warehouses to data platforms on AWS cloud using AWS and 3rd party services.Design and build production data pipelines from ingestion to integration within a big data architecture, using PySpark, Python, and SQL.Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power.Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency.Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering, and machine learning.Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.Advanced Data Engineering knowledge and experience working with modern data practices.Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.Experience working with distributed systems as it pertains to data storage and computing.Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.Strong analytic skills related to working with unstructured datasets.Build processes supporting data transformation, data structures, metadata, dependency, and workload management.Additional Minimum ExperienceProficiency in SQL with expertise in writing and optimizing complex queries.A successful history of manipulating, processing, and extracting value from large, disconnected data sets.Experience supporting and working with cross-functional teams in a dynamic environment.Experience in Data Engineering roles.Experience with the following is a must: AWS Glue, PySpark, SQL.Experience with data pipeline and workflow management tools like AWS StepFunctions and Control-M would be beneficial but not required.Experience with AWS cloud services: EC2, EMR, RDS, DynamoDB would be beneficial but not required.Minimum QualificationsBachelor's Degree in Computer Science, Information Technology, or other relevant fields.Has experience in any of the following AWS Athena, AWS Glue, Pyspark, AWS DynamoDB, AWS Redshift, AWS Lambda, and AWS Step Functions.Proficient in SQL, Python, and PySpark.Proficient in utilizing a cloud platform and services.Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, devops, and operations.Liberty Group Limited is an equal opportunity, affirmative action employer.
In compliance with the Employment Equity Act 55 of 1998 and the group's Transformation Strategy, preference will be given to suitable candidates from designated groups whose appointments will contribute towards the achievement of equitable demographic representation of our workforce profile and add to the diversity of the organisation. The Company's approved Employment Equity Plan and Targets will be considered as part of the recruitment process.
As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.
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