RELX
RELX
RELX бүкіл әлемдегі кәсіби мамандар мен бизнес клиенттеріне арналған ақпаратқа негізделген талдау және шешім қабылдау құралдарын әзірлейді. Оның өнімдері тәуекелдерді басқару, ғылыми, техникалық және медициналық, құқықтық қызметтер мен көрмелер салаларында жақсырақ шешімдер қабылдауға және жоғары нәтижелерге қол жеткізуге көмектесу үшін мамандандырылған мазмұнды, деректерді және технологияны біріктіреді. RELX сондай-ақ консалтинг, денсаулық сақтау және сақтандыруға қатысты нарықтарда жұмыс істеп, ұйымдарға өнімділікті арттыруға, тәуекелдерді басқаруға, зерттеулерді ілгерілетуге, құқықтық жұмысты қолдауға және іскерлік операцияларды тиімдірек жүргізуге көмектеседі.

Software Engineer III – Data Engineering (Chennai, Onsite)

Build and optimize Azure-based data pipelines and platforms for LexisNexis Risk Solutions. Support enterprise analytics, reporting, and operational data initiatives across multiple business domains.

Сипаттама

  • Build and maintain scalable ETL/ELT pipelines with Azure Data Factory, Databricks, and Azure storage services
  • Load data from relational databases, APIs, and file-based sources into Azure platforms
  • Create transformations on HPCC with ECL and in Azure with SparkSQL and PySpark
  • Develop, maintain, and optimize Azure Databricks notebooks and jobs
  • Implement high-performance Spark workloads for large-scale data processing
  • Create data models on HPCC with ECL and in Delta Lake, Parquet, or comparable columnar formats
  • Tune ECL, SQL, and Spark workloads for scalability and performance
  • Partner with analysts, data scientists, and application teams to define data needs and advance engineering practices

Талаптар

  • Advanced SQL skills and strong command of data transformation logic
  • Working knowledge of data warehousing principles and ETL/ELT approaches
  • Practical experience with Azure Databricks, Spark SQL, and PySpark
  • Experience using Azure Data Factory, ADLS Gen2, and Azure SQL or Synapse
  • Background handling large structured and semi-structured datasets
  • Familiarity with Agile software development practices
  • Willingness to learn new technologies and operational processes
  • Understanding of the full SDLC, from requirements and design through maintenance
  • Knowledge of software engineering principles, design patterns, and development best practices
  • Capability to gather, clarify, and document requirements
  • Strong written and verbal communication abilities
  • Effective analytical and problem-solving skills
  • Familiarity with insurance terminology

Артықшылықтар

  • Benefits vary according to the employee’s country
  • Accommodation and recruitment-process support are available to applicants
  • Equal opportunity employment

Ұқсас жұмыс орындары

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