Sigma Software Group
Sigma Software Group
Sigma Software Group — 2002-yilda tashkil etilgan ko‘p millatli texnologik konsalting kompaniyasi. Uning jamoalari avtomobilsozlik, sog‘liqni saqlash, telekommunikatsiya, aviatsiya, bank ishi, o‘yinlar, ko‘chmas mulk va reklama kabi sohalardagi mijozlar uchun dasturiy ta’minot ishlab chiqish, grafik dizayn, testlash va texnik qo‘llab-quvvatlash xizmatlarini ko‘rsatadi. Kompaniya murakkab muhandislik loyihalarida ishlash uchun IT mutaxassislarini yollaydi hamda mentorlik va uzluksiz ta’lim orqali kasbiy rivojlanishni qo‘llab-quvvatlaydi. Masofadan ishlash imkoniyatlari kompaniyaning ish modelining bir qismi bo‘lib, loyihalar AstraZeneca, Scania va SAS kabi tashkilotlarga xizmat ko‘rsatadi.

Senior Data Engineer, Databricks Migration

Migrate enterprise retail analytics from BigQuery to Databricks Lakehouse, building scalable PySpark pipelines, medallion architecture, and governed cloud data platforms.

Tavsif

  • Help migrate a large-scale analytics platform from BigQuery to Databricks.
  • Design and build scalable Lakehouse architectures with Databricks and Delta Lake.
  • Assess existing ETL and ELT workloads and define migration approaches.
  • Build and optimize pipelines for large volumes of retail and analytical data.
  • Implement incremental processing strategies and scalable transformation frameworks.
  • Develop and maintain Spark data processing solutions using PySpark.
  • Design and maintain Bronze, Silver, and Gold medallion layers.
  • Apply data governance and security practices using Unity Catalog.
  • Work with Data Science, Analytics, Product, and Customer Engineering teams.
  • Contribute to architecture discussions and technical solution design.
  • Create reusable data platform components and engineering standards.
  • Review code and improve platform reliability and maintainability.
  • Troubleshoot and optimize complex SQL and Spark workloads.
  • Support production deployments and platform modernization.

Talablar

  • Bring at least five years of professional Data Engineer experience.
  • Have strong Python programming skills and advanced SQL proficiency.
  • Have commercial, hands-on experience with Databricks.
  • Know Apache Spark well, particularly PySpark.
  • Have experience designing and building modern cloud data platforms.
  • Have experience developing ETL and ELT pipelines and large-scale data processing solutions.
  • Have hands-on experience with Delta Lake.
  • Have experience with Spark Declarative Pipelines.
  • Have experience monitoring clusters, analyzing metrics, and optimizing performance.
  • Understand distributed data processing architectures.
  • Understand data warehousing concepts and dimensional modeling.
  • Have experience with Airflow or a comparable orchestration tool.
  • Have experience optimizing complex analytical SQL workloads.
  • Have experience applying CI/CD practices to data engineering platforms.
  • Be skilled at troubleshooting and performance optimization.
  • Work effectively with cross-functional, international teams.
  • Have Upper-Intermediate English proficiency or higher.

Imtiyozlar

  • Remote work is available to employees.
  • Continuous learning opportunities.
  • Opportunities to grow with technology.
  • Meaningful impact through engineering work.
  • Work on complex international projects.

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