Talent Matchmakers
Talent Matchmakers
Talent Matchmakers — 2017-yilda tashkil etilgan IT va texnik xodimlarni yollash bo‘yicha hamkor. Kompaniya IT ekotizimi haqidagi bilimlarini keng iste’dodlar bazasidan foydalanish imkoniyati bilan birlashtirib, bizneslarga texnologik lavozimlar uchun nomzodlarni aniqlash va ular bilan aloqa o‘rnatishda yordam beradi. Ishga qabul qilish jarayoni har bir mijozning xodim yollash ehtiyojlarini tushunish, ochiq muloqotni saqlash, nomzodlarni sinchiklab tanlash va amaldagi biznes faoliyatiga imkon qadar kam xalaqit bergan holda jarayonni boshqarishga asoslangan.

Data Engineer – Bucharest Hybrid

Build scalable Python, Spark, Kafka, and Airflow pipelines for an energy-sector client. Design cloud data lakes and warehouses that support analytics and machine learning.

Tavsif

  • Build and maintain resilient data pipelines and architectures for business intelligence, analytics, and machine learning
  • Work closely with data scientists, analysts, engineers, and business stakeholders
  • Convert business requirements into scalable, efficient data solutions
  • Explain complex technical concepts clearly to non-technical stakeholders
  • Deliver high-performance, scalable data processing solutions
  • Improve data storage, retrieval, and ETL workflows
  • Lead the design and development of cloud-based data solutions
  • Use GitLab for version control and code and deployment pipelines
  • Write and optimize SQL queries while integrating multiple sources into data lakes and warehouses
  • Automate and simplify data pipelines with shell scripting and relevant tools
  • Support the development of junior data engineers through mentoring
  • Lead code reviews and uphold engineering best practices

Talablar

  • Bachelor’s degree in a STEM discipline
  • At least four years of experience as a data engineer or in a comparable role, with a record of delivering large-scale data solutions
  • Advanced SQL skills, including complex query development
  • Strong Python programming experience for data engineering, custom processing solutions, and automation
  • Extensive experience with Apache Spark and Apache Kafka for distributed and batch processing
  • Practical experience using Apache Airflow to orchestrate data flows
  • Solid experience with AWS or another cloud provider
  • Proficiency with GitLab for version control and CI/CD workflows
  • Hands-on experience with Docker and Kubernetes for containerization
  • Experience with dbt for data transformation
  • Experience with shell scripting, such as Bash
  • Experience with Java or Scala in addition to Python
  • Experience with Apache Hive
  • Understanding of data governance, security practices, and compliance requirements
  • Familiarity with agile methods and cross-functional collaboration
  • Familiarity with machine learning concepts
  • Strong problem-solving ability and experience handling large, complex datasets
  • Excellent communication and collaboration skills across teams
  • Ability to mentor junior engineers and provide technical leadership

Imtiyozlar

  • B2B collaboration

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