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    • Data Engineering Lead - Gauteng - Findojobs South Africa

    Findojobs South Africa
    Findojobs South Africa Gauteng

    3 weeks ago

    Default job background
    Description

    At Old Mutual, we are a firm believer in the African opportunity and our diverse talent reflects this.

    Job Description

    Role Overview

    We are seeking a highly skilled Lead Stream & Data Engineer to develop data products & data warehouse solutions in on-premises and cloud environments using cloud-based services, platforms and technologies. The successful candidate will have extensive experience in designing, developing, and deploying high-performance, re-usable streaming applications using Apache Kafka, Apache Flink and Java, as well as batch processing pipelines using Python, Dbt and Apache Airflow.

    The ideal candidate will have proven expertise in building scalable data pipelines and real-time processing systems that enhance operational efficiency and drive business insights. A strong background in microservices architecture, cloud technologies, and agile methodologies is essential.

    Key Result Areas

    Operational Delivery

    • Assist with clarification of technical requirements & implementation process with Product Owners
    • Assist data engineering team with product and architectural knowledge
    • Drive good technical architecture
    • Support and guidance of the tech team with resolution of PO tickets
    • Support and implementation of technical strategy
    • Ensuring data is available to businesses in a secure, actionable and reliable way
    • Raising the bar on data quality, data governance, reliability and engineering excellence
    • Preparing the data sets that will ultimately deliver valuable insights to the business
    • Enabling the discovery and exploration by analysts, BI, data science and business users
    • Identifying opportunities for improvements and putting energy behind turning them into action

    Technical Skills

    • Programming Languages: Proficient in Java (Java SE 8/11), with a solid understanding of object-oriented programming principles and Python 3
    • Streaming Technologies: Extensive experience with Apache Kafka, including Kafka Streams API for real-time data processing, producer/consumer development, and stream management, and expertise in Apache Flink
    • Desirable skills: Decodable and K8's, Confluent
    • Frameworks: Deep knowledge of Spring Boot for building RESTful services and microservices architectures; adept at using Spring Cloud for distributed systems
    • Database Management: Skilled in integrating various databases (e.g., NoSQL) with streaming applications to ensure efficient data storage and retrieval
    • Cloud Platforms: Hands-on experience deploying applications on AWS, utilizing services such as EC2, S3, RDS, and Lambda for serverless architectures

    Technical Leadership

    • Participate in the engineering and other discipline's community of practice
    • Technical leadership and mentorship
    • Developing and monitoring of data engineering standards and principles
    • Lead technical delivery within teams and provide oversight of solutions
    • Share AWS knowledge and practical experience with community
    • Challenge and contribute to development of architectural principals and patterns

    Delivery Management

    • Follow and participate in defined ways of work including, but not limited to, sprint planning, backlog grooming, retrospectives, demos and PI planning

    Experience

    • Experience of developing solutions in the cloud
    • At least 5+ years' experience with designing and developing Data Pipelines for Data Ingestion or Transformation using AWS technologies
    • Experience in developing data warehouses and data marts
    • Experience in Data Vault and Dimensional modelling techniques
    • Experience working in a high availability DataOps environment
    • Proficiency in AWS services related to data engineering, such as AWS Glue, Athena, and EMR. Strong programming skills in languages like Python and Java.
    • Overseeing the implementation of CI/CD pipelines
    • Github
    • Designing and implementation of scalable streaming architectures using technologies such as Apache Kafka, Apache Flink, or AWS Kinesis to handle real-time data ingestion and processing
    • Orchestration with Apache Airflow
    • Dbt core

    Qualifications

    • Bachelor's Degree in Computer Science or similar fields like Information Systems, Big Data, etc.
    • AWS Data Engineer Certification would be advantageous
    • Related Technical certifications

    The appointment will be made from the designated group in line with the Employment Equity Plan of Old Mutual South Africa and the specific business unit.

    This role is responsible for overseeing the data engineering practices. Guides technical design and the development and maintenance of data pipelines and other digital applications or services.

    About Us

    Old Mutual is a premium African financial services organisation that offers a broad spectrum of financial solutions to retail and corporate customers across key market segments in 14 countries. The lines of business include Life and Savings, Property and Casualty, Asset Management and Banking and Lending.
    We are rooted in our purpose of Championing Mutually Positive Futures Every Day and believe that a great customer experience is anchored in a great employee experience.

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