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    Intermediate Data Engineer - Gqeberha, South Africa - LexisNexis

    LexisNexis
    LexisNexis Gqeberha, South Africa

    Found in: Talent ZA C2 - 5 hours ago

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    Full time
    Description

    Are you a strategic planner and problem-solver?

    Do you enjoy collaborating cross-functionally to deliver on common goals?

    Join us in shaping a more just world.

    About Us

    LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.

    About the Role

    At LexisNexis we develop the legal profession's most innovative products for data analysis, visualization, and research. We use the latest techniques in AI, machine learning, and data visualization to uncover insights about judges' rulings, build forecasts of likely outcomes, and reveal critical connections in massive datasets spanning the law, news, and finance.

    Responsibilities

    As a senior data engineer on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments. You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets. You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators. You will get the experience of working in a start-up culture with the large datasets and many other resources of an established company. You will also:

    • Build and scale data infrastructure that powers real-time data processing of billions of records in a streaming architecture
    • Build scalable data ingestion and machine learning inference pipelines
    • Build general-purpose APIs to deliver data science outputs to multiple business units
    • Scale up production systems to handle increased demand from new products, features, and users
    • Provide visibility into the health of our data platform (comprehensive view of data flow, resources usage, data lineage, etc) and optimize cloud costs
    • Automate and handle the life-cycle of the systems and platforms that process our data

    Requirements

    • Masters in Software Engineering, Data Engineering, Computer Science or related field
    • 2-3 years of relevant work experience
    • Strong Scala or Java background
    • Knowledge of AWS, GCP, Azure, or other cloud platform
    • Understanding of data modeling principles.
    • Ability to work with complex data models.
    • Experience with relational and NoSQL databases (e.g. Postgres, ElasticSearch/OpenSearch, graph databases such as Neptune or neo4j)
    • Experience with technologies that power analytics (Spark, Hadoop, Kafka, Docker, Kubernetes) or other distributed computing systems
    • Knowledge of API development and machine learning deployment

    Work in a way that works for you

    We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees

    Working with Us

    LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace.

    Working for you

    We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career.

    About our Team

    LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We're one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful.

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