RELX
RELX
RELX butun dunyodagi professional va biznes mijozlari uchun axborotga asoslangan tahlil hamda qaror qabul qilish vositalarini ishlab chiqadi. Uning mahsulotlari Risklarni boshqarish, Ilmiy, texnik va tibbiy yo‘nalishlar, Huquqiy xizmatlar hamda Ko‘rgazmalar sohalarida yaxshiroq qarorlar va yuqoriroq natijalarni qo‘llab-quvvatlash uchun maxsus kontent, ma’lumotlar va texnologiyalarni birlashtiradi. RELX, shuningdek, konsalting, sog‘liqni saqlash va sug‘urta bilan bog‘liq bozorlarda faoliyat yuritib, tashkilotlarga unumdorlikni oshirish, xatarlarni boshqarish, tadqiqotlarni rivojlantirish, huquqiy ishlarni qo‘llab-quvvatlash va biznes bitimlarini samaraliroq amalga oshirishda yordam beradi.

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.

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

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

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