Talent Matchmakers
Talent Matchmakers
Talent Matchmakers एक आईटी और तकनीकी भर्ती साझेदार है, जिसकी स्थापना 2017 में हुई थी। कंपनी आईटी इकोसिस्टम की समझ और व्यापक प्रतिभा पूल तक पहुंच को मिलाकर व्यवसायों को तकनीकी पदों के लिए उम्मीदवारों की पहचान करने और उनसे जुड़ने में मदद करती है। इसकी भर्ती प्रक्रिया प्रत्येक ग्राहक की नियुक्ति आवश्यकताओं को समझने, खुला संवाद बनाए रखने, उम्मीदवारों का सावधानीपूर्वक चयन करने और चल रहे व्यावसायिक संचालन में न्यूनतम बाधा के साथ प्रक्रिया का प्रबंधन करने पर आधारित है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • B2B collaboration

संबंधित नौकरियाँ

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