Jobs Available at LexisNexis

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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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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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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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