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  • Posted: Oct 15, 2024
    Deadline: Not specified
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    Innovating to support each customer's success. Combining deep content and technology to deliver better outcomes for our customers. Advancing the rule of law around the world. LexisNexis is a leading global provider of legal, regulatory and business information and analytics that help professional customers make more informed decisions, increase productivity...
    Read more about this company

     

    Customer Service Consultant

    Responsibilities

    • Collaborating with clients to understand their needs and provide tailored solutions.
    • Providing exceptional customer support and resolving inquiries in a timely manner.
    • Analyzing customer feedback to identify areas for improvement and implementing necessary changes.
    • Contributing to the development and implementation of best practices for client support operations.
    • Assisting in the implementation of new support strategies and technologies to optimize client experience.
    • Identifying opportunities for process improvement and contributing to the enhancement of support operations

    Requirements

    • Have a solid understanding of CRM systems and support ticketing platforms. Demonstrate a proactive and customer-focused approach to resolving issues and providing support.
    • Be able to communicate effectively and professionally with clients via phone, email, and chat.
    • Have a keen attention to detail and the ability to maintain accurate client records and documentation.
    • Be willing to adapt to new technologies and processes to improve customer support operations.

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    Sr Systems Engineer (Durban, Cape Town)

    Responsibilities

    • Diagnose system performance problems using available standard performance tools and system indicators such as queue lengths, CPU utilization, etc.
    • Install program products and system components
    • Demonstrate thorough understanding of all system components and of program products assigned to support.
    • Work closely with development groups, support groups, and vendors to coordinate special operations, and communicate/escalate problems as appropriate to meet assigned deadlines.
    • Assist in daily support of the systems/products assigned, through early detection and pursuit or changes in system responses or operation.
    • Work closely with support groups to refine system monitoring and reporting, and to assist them in their analysis and problem recovery.
    • Demonstrate thorough understanding of major system components in completing assigned tasks (i.e., storage systems and Windows infrastructure).
    • Assist in daily support of the systems/products assigned, through early detection and pursuit or changes in system responses or operation.
    • Demonstrate knowledge of system components in completing assigned tasks (i.e., storage systems, and Windows/Virtual infrastructure).
    • Develop lists/scripts for execution of commonly used processes and automation of simple tasks.
    • Proper management and implementation of team changes and service requests.
    • Proper creation, execution, documentation, and closure of tasks, changes, and requests.

    Requirements

    • 5+ years of Systems Engineering experience
    • BS Engineering/Computer Science or equivalent experience required
    • Experience of Windows infrastructure.
    • Experience in VMware Management.
    • Window OS installation and troubleshooting.
    • Experience in virtual server environments.
    • Experience in scripts automation.
    • Understanding of Cloud implementation
    • Experience with SFTP
    • Experience in Defender A/V
    • Experience in Credential Guard
    • Experience in MECM Patching Process
    • Strong critical thinking skills.
    • Good oral and written communication skills.

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    Senior Data Engineer I

    Responsibilities

    • Designing and developing scalable data models and analytical solutions using Amazon Redshift, ensuring efficient data storage, retrieval, and processing.
    • Developing and optimizing complex SQL queries and analytical procedures to extract insights from large datasets stored in Redshift.
    • Designing and developing Tableau dashboards to surface and present data analytics to the organisation.
    • Implementing data quality checks, data transformations, and data cleansing processes to ensure the integrity and accuracy of analytical data.
    • Developing and maintaining ETL (Extract, Transform, Load) processes to integrate data warehouse.
    • Optimizing Redshift database performance by implementing partitioning strategies, indexing, query tuning, and workload management.
    • Implementing data security and access controls within Redshift to ensure data privacy and compliance.
    • Participating in code reviews, knowledge-sharing sessions, and continuous improvement initiatives to maintain best practices.

    Requirements

    • Have a BSC degree in computer science or equivalent.
    • Have experience with Amazon Redshift and Microsoft BI systems, including data modelling, SQL querying, and performance tuning. Experience in PowerBI and Tableau.
    • Be proficient in SQL and experience with analytical tools and techniques (e.g., data mining, statistical analysis, machine learning).
    • Expertise in development languages including but not limited to: Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, .NET, Unix, HPCC.
    • Have knowledge of data warehousing concepts, dimensional modelling, and data integration best practices.
    • Be able to write and review portions of detailed specifications for the development of complex system components.
    • Have knowledge of test-driven development.
    • Be able to troubleshoot and resolve process inefficiencies (i.e. bugs) in the repository.

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    Intermediate Data Engineer

    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

    Method of Application

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