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 - RELX, Chennai Onsite

Build Azure and HPCC data pipelines for LexisNexis Risk Solutions. Develop scalable platforms that support risk analytics, reporting, and operational data needs.

Сипаттама

  • Create and maintain scalable ETL and ELT pipelines with Azure Data Factory, Databricks, and Azure storage services
  • Load data from relational databases, APIs, and file-based sources into Azure data platforms
  • Transform data on HPCC with ECL and in Azure with Spark SQL and PySpark through Azure Databricks
  • Develop, maintain, and improve Azure Databricks notebooks and jobs
  • Build efficient Spark workloads for processing large datasets
  • Create data models on HPCC with ECL and in Delta Lake, Parquet, and other columnar formats
  • Tune ECL, SQL, and Spark workloads for stronger performance and scalability
  • Work with business analysts, data scientists, and application teams to clarify data needs and advance engineering practices
  • Develop and refine reliable, scalable, and secure enterprise data platforms and pipelines
  • Provide data solutions for analytics, reporting, and operational use cases

Талаптар

  • Demonstrated strength in SQL and data transformation logic
  • Working knowledge of data warehousing principles and ETL/ELT patterns
  • Practical experience with Azure Databricks, Spark SQL, and PySpark
  • Experience with Azure Data Factory, Azure Data Lake Storage Gen2, and Azure SQL or Synapse
  • Experience handling large structured and semi-structured datasets
  • Familiarity with Agile development practices
  • A constructive mindset and willingness to learn new tools and processes
  • Understanding of the software development lifecycle, from requirements and design through implementation, testing, deployment, and maintenance
  • Knowledge of software engineering principles, design patterns, and development best practices
  • Ability to gather, clarify, and document requirements
  • Strong written and verbal communication skills
  • Effective analytical and problem-solving ability
  • Familiarity with insurance terminology

Артықшылықтар

  • Benefits vary according to the employee's country
  • Support with accommodation or adjustments during the hiring process

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