EXL
EXL
EXL tashkilotlarga operatsiyalarini takomillashtirish va yanada to‘g‘ri qarorlar qabul qilishda yordam beradigan, ma’lumotlar, tahlil va texnologiyalardan foydalanishga ixtisoslashgan biznes konsalting va xizmatlar kompaniyasidir. Uning faoliyati operatsiyalarni boshqarish, qarorlar tahlili va raqamli transformatsiyani qamrab oladi. Kompaniya sog‘liqni saqlash, sug‘urta, moliya va logistika sohalaridagi mijozlarni qo‘llab-quvvatlash tajribasiga ega. EXL ma’lumotlar fanini amaliy biznes tajribasi bilan birlashtirib, har bir tashkilotning maqsadlari, operatsion modeli va soha sharoitlariga mos yechimlar ishlab chiqadi.

Senior Data Engineer at EXL - Remote in United States

Lead the architecture of cloud-native, petabyte-scale data platforms at EXL. Own data pipelines, streaming, analytics optimization, and data engineering leadership.

Tavsif

  • Set the architectural direction and standards for scalable, reliable, and secure end-to-end data pipelines
  • Mentor engineers, review code, and manage delivery timelines for data products
  • Translate business and technical requirements into production-ready data solutions with Data Scientists, Analysts, and stakeholders
  • Support Data Scientists and ML Engineers with data access, model development, and data quality assurance
  • Build and optimize high-volume ingestion and transformation jobs with dbt Core and AWS Glue
  • Create and maintain modular, reusable pipelines with orchestrators such as Dagster
  • Manage real-time data flows through Confluent platforms or AWS streaming services such as Kinesis
  • Apply data anonymization practices and meet security and privacy requirements
  • Implement and maintain Apache Iceberg for schema evolution and data management
  • Improve query performance and control costs across Snowflake, Amazon Redshift, and AWS Athena
  • Add Splunk monitoring and observability to identify bottlenecks and resolve production issues

Talablar

  • At least 10 years of progressive, hands-on experience in Data Engineering, Data Architecture, or a closely related full-stack data role
  • Strong understanding of data engineering principles, ETL/ELT patterns, and metadata management
  • Demonstrated experience building and operating petabyte-scale infrastructure in cloud-native environments
  • Insurance industry experience is preferred but not required
  • Experience with AWS services including S3, IAM, and VPC
  • Experience with Talend, dbt Core, Iceberg, AWS Glue Catalog, Snowflake, Redshift, Athena, Splunk, AWS streaming services, and Git
  • Strong SQL, PySpark, and Python skills
  • Working knowledge of DataOps and DevOps fundamentals

Imtiyozlar

  • Annual bonus
  • Benefits information provided at https://www.exlservice.com/us-careers-and-benefits
  • Remote work / work from home

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