HITCONTRACT
HITCONTRACT
HITCONTRACT 2015-yilda tashkil etilgan bo‘lib, ish beruvchilar va texnologiya mutaxassislariga bepul ishga yollash platformasi hamda IT sohasiga ixtisoslashgan vakansiyalar sayti orqali xizmat ko‘rsatuvchi butik IT rekruting va shartnoma asosidagi ish agentligidir. Kompaniya rekruting, shartnoma asosida ishga joylashtirish, konsalting, rezyume yuborish va ish o‘rinlarini e’lon qilish xizmatlarini taqdim etadi. Uning asosiy yo‘nalishi o‘rta va yuqori darajadagi IT mutaxassislari hamda pudratchilarni mos imkoniyatlar bilan bog‘lashdan iborat. HITCONTRACT QA avtomatlashtirish, Python dasturlash va PMO tahlili kabi rollar bo‘yicha ishga yollashni qo‘llab-quvvatlash uchun HITMATCH algoritmi va 17 000 dan ortiq dasturchilar ma’lumotlar bazasidan foydalanadi. Litvada joylashgan va Yevropa hamda masofaviy ish bozorida faoliyat yuritadigan kompaniya texnologiya sohasida keyingi ish o‘rnini izlayotgan nomzodlar uchun doimiy va shartnoma asosidagi lavozimlarni e’lon qiladi.

Senior Data Engineer – Remote in Lithuania

Lead the design of banking data pipelines across AWS, Oracle, Airflow, dbt, and SAP. Help modernize legacy systems using Data Mesh and Medallion architectures.

Tavsif

  • Design and enhance data ingestion, processing, storage, and sharing across AWS cloud and legacy data warehouse environments within a Data Mesh platform.
  • Develop and optimize ETL and ELT pipelines and data architectures with Airflow, dbt, and SAP Data Services.
  • Help migrate and modernize legacy data systems toward cloud-native architecture.
  • Maintain strong data quality, security, and performance across data workflows.
  • Work with analysts, engineers, and business stakeholders to deliver scalable data solutions.
  • Conduct code reviews, establish monitoring and alerting, and fix data pipeline issues.
  • Join the EOD ROTA rotation and remain available for incident resolution until 23:00–24:00.

Talablar

  • Demonstrated practical experience using SQL and Python.
  • Hands-on experience with AWS, Azure, or Google Cloud Platform.
  • Working knowledge of pipeline orchestration and transformation tools such as Airflow or dbt.
  • Experience with enterprise data platforms including Oracle Database, SAP IQ, SAP Data Services, and SAP Business Objects.
  • Understanding of real-time, message-based, and event-driven integrations, including connections between legacy and modern data platforms.
  • Familiarity with test automation and DevOps practices, including infrastructure as code, security, CI/CD, and SDLC principles.
  • Experience delivering Data Products and applying Medallion and Data Mesh architectures.
  • Strong communication and teamwork abilities.
  • Fluency in English.
  • Citizenship of a Baltic state or Poland.

Imtiyozlar

  • Remote work arrangement.
  • Twelve-month project duration.

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