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3 дня назад

Senior Data Engineer (Java)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Poland
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR

Senior Data Engineer (Java): Designing, implementing, and maintaining scalable real-time data pipelines and observability frameworks with an accent on distributed systems and cloud infrastructure. Focus on owning features end-to-end and building data products to enable core business event delivery.

Location: Must be based in Poland (Hybrid work format)

Company

hirify.global is a global provider of data intelligence, helping organizations navigate complex markets across commodities, energy, and maritime sectors.

What you will do

  • Design, develop, and maintain scalable real-time data pipelines for analytics and operational use.
  • Own and operate cloud-based infrastructure following a β€œyou build it, you run it” model.
  • Develop and manage data products in collaboration with product managers, analysts, and engineering teams.
  • Mentor and support other engineers to foster a collaborative and high-performing culture.
  • Build deep domain expertise and work effectively across teams with multiple dependencies.
  • Own features end-to-end, from design and implementation to deployment and monitoring.

Requirements

  • 6+ years of experience in DevOps, Data Engineering, or Software Engineering.
  • Strong proficiency in Java.
  • Experience with streaming platforms or message queues such as Kafka, Kinesis, or RabbitMQ.
  • Solid understanding of distributed systems and associated architectural trade-offs.
  • Strong written and spoken English communication skills.

Nice to have

  • Experience with Infrastructure as Code tools (Terraform, Pulumi).
  • Cloud platform experience (AWS, GCP, or Azure).
  • Familiarity with stream processing frameworks (Flink, Kafka Streams, or Spark).
  • Experience with Python.

Culture & Benefits

  • Dynamic environment focused on innovation and market solutions.
  • Collaborative and supportive team culture centered on shared success.
  • Commitment to a fair, inclusive, and diverse work environment.
  • Opportunities to solve complex technical challenges in the commodities and energy sectors.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’