Leega
Leega
201 – 500 Xodimlar
APIKonsaltingMarketing
Leega maʼlumotlar tahlili, bulutli yechimlar va raqamli transformatsiyaga ixtisoslashgan Lotin Amerikasidagi texnologik konsalting kompaniyasidir. Uning xizmatlari qatoriga ilovalar ishlab chiqish, mashinaviy o‘qitish, xatarlarni boshqarish tahlili hamda maʼlumotlar muhitini modernizatsiya qilayotgan tashkilotlarni qo‘llab-quvvatlash kiradi. Leega korxonalarga maʼlumotlarni boshqarishni yaxshilash va bulutli texnologiyalarni joriy etishda yordam berish uchun Google Cloud, AWS va Microsoft Azure bilan hamkorlik qiladi. Kompaniya, shuningdek, mintaqada maʼlumotlar tahlili bo‘yicha Google Cloud tomonidan sertifikatlangan birinchi tashkilot ekanini taʼkidlaydi.

Mid-Level GCP Data Engineer at Leega (Remote)

Join Leega as a GCP Data Engineer building scalable pipelines and modern data platforms. Work with Databricks, Spark, ETL/ELT, and Lakehouse architectures.

Tavsif

  • Build and maintain scalable ETL/ELT data pipelines
  • Manage data ingestion, transformation, and delivery in GCP environments
  • Develop Databricks solutions with Spark and PySpark
  • Design and improve Data Lake, Data Warehouse, and Lakehouse architectures
  • Connect APIs, databases, streaming platforms, and other data sources
  • Maintain data quality, governance, and platform reliability
  • Track performance and reduce cloud infrastructure costs
  • Partner with BI, Analytics, and Data Science teams

Talablar

  • At least four years of professional Data Engineering experience
  • Practical experience with Google Cloud services such as BigQuery, Cloud Storage, or Dataflow
  • Experience using Databricks and Spark for distributed data processing
  • Strong Python and SQL skills
  • Experience with relational and dimensional data modeling
  • Experience orchestrating pipelines with Airflow or comparable tools
  • Working knowledge of Git and version control practices
  • Experience working with Delta Lake
  • Knowledge of Terraform for infrastructure as code
  • Experience using Docker
  • Knowledge of streaming technologies such as Kafka or Pub/Sub
  • GCP or Databricks certification
  • Experience designing Lakehouse architectures
  • Familiarity with BI platforms including Power BI, Looker, or Tableau
  • Understanding of data governance and Brazil’s General Data Protection Law (LGPD)
  • Intermediate or advanced English proficiency

Imtiyozlar

  • Continued opportunities for professional development
  • Fully remote position
  • Open to applicants with disabilities

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