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InPost Group
InPost Group
Elektron tijoratLogistikaTransport
InPost Group elektron tijorat uchun uydan tashqarida yetkazib berish tarmog‘ini boshqaradi. Kompaniya avtomatlashtirilgan posilka mashinalari, kuryerlik xizmatlari hamda posilkalarni olib ketish va topshirish punktlarini birlashtiradi. Uning platformasi Polsha, Fransiya, Benilyuks mintaqasi, Buyuk Britaniya va Italiya bo‘ylab qulay olib ketish imkoniyatlari va yetkazib berish infratuzilmasi orqali savdogarlar hamda iste’molchilarga posilkalarni yetkazib berishni boshqarishda yordam beradi. Kompaniya texnologiyaga asoslangan logistika va atrof-muhitga ta’siri kamroq bo‘lgan yetkazib berish modellariga e’tibor qaratib, Yevropada onlayn chakana savdoning uzluksiz o‘sishini qo‘llab-quvvatlaydi.
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Kompaniyadagi ish o‘rinlari

Senior Data Developer (Remote, Poland)

Join InPost Group as a Senior Data Developer supporting reliable data platforms for its European parcel network. Build and optimize ETL/ELT pipelines, Databricks data layers, and quality controls for analytics and automation.

PLPolshaMasofaviyTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaDasturiy ta’minot muhandisi
AzureBulutETLKafkaPySparkPythonSparkSQL

Tavsif

  • Build and maintain ETL/ELT workflows with SQL, PySpark, and Python while integrating data from multiple source systems.
  • Create Databricks, Data Lake, and Delta Lake layers, including tables, views, and analytical data models.
  • Automate and coordinate data ingestion and transformation workflows.
  • Maintain data accuracy and reliability through validation, monitoring, alerting, and incident investigation.
  • Improve SQL queries, Spark workloads, and storage designs to enhance performance, scalability, stability, and cost efficiency.
  • Deliver dependable, production-ready data to analysts, Product Owners, and other stakeholders.
  • Maintain Confluence documentation for data processes, models, KPI definitions, dependencies, lineage, and incident procedures.
  • Use AI tools to accelerate delivery while reviewing generated code, configurations, and documentation before deployment.

Talablar

  • At least two years of experience in Data Engineering, Analytics Engineering, or data analysis.
  • Experience designing ETL/ELT workflows and developing analytical data models or data layers.
  • Background maintaining production data processes, including monitoring, troubleshooting, and data quality assurance.
  • Experience with cloud platforms, particularly Microsoft Azure.
  • Hands-on proficiency with SQL, Python, PySpark, and Databricks.
  • Understanding of Data Lake and Delta Lake architectures and data modeling principles.
  • Practical experience with Git and Azure DevOps across Development, Test, and Production environments.
  • Ability to convert business needs into effective technical solutions.
  • Advanced English communication skills for work in an international environment.
  • Analytical, logical, detail-oriented, proactive, and able to prioritize under time pressure.
  • Experience working in a complex operational environment is an advantage.
  • Knowledge of dimensional modeling, including star schemas, fact and dimension tables, data grain, and normalization or denormalization for reporting and analytics is an advantage.
  • Knowledge of advanced Databricks and Delta Lake capabilities is an advantage.
  • Experience with Kafka, Structured Streaming, or Event Hubs is an advantage.
  • Familiarity with monitoring and alerting tools is an advantage.
  • Knowledge of data security, access control, metadata management, and data lineage principles is an advantage.
  • Experience with Jira and Confluence, or relevant Microsoft Fabric and Databricks certifications, is an advantage.
  • benefits:[

Imtiyozlar

  • Own data products that directly support strategic business decisions.
  • Work in a diverse, international, cross-functional team alongside experienced specialists.
  • Experiment with emerging technologies, including AI tools, and take useful innovations into production.
  • See the direct, immediate effects of your work.
  • B2B cooperation arrangement.

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