Sigma Software Group
Sigma Software Group
Sigma Software Group ir 2002. gadā dibināts starptautisks tehnoloģiju konsultāciju uzņēmums. Tā komandas nodrošina programmatūras izstrādi, grafisko dizainu, testēšanu un tehnisko atbalstu klientiem, kas darbojas tādās nozarēs kā autobūve, veselības aprūpe, telekomunikācijas, aviācija, banku darbība, spēļu industrija, nekustamais īpašums un reklāma. Uzņēmums pieņem darbā IT speciālistus darbam pie sarežģītiem inženierijas projektiem un atbalsta profesionālo izaugsmi, izmantojot mentoringu un nepārtrauktu mācīšanos. Attālinātā darba iespējas ir daļa no uzņēmuma darba modeļa, un projekti tiek īstenoti tādām organizācijām kā AstraZeneca, Scania un SAS.

Middle Data Engineer (Azure, Spark) — Poland Remote

Build Azure data platforms and scalable pipelines that support analytics and operations. Develop Spark workflows, data models, and dependable cloud data solutions.

Apraksts

  • Build scalable, dependable data platforms and pipelines for analytics and operations
  • Develop distributed data processing workflows with Apache Spark, PySpark, and Databricks
  • Extend the cloud data platform using Azure Data Factory, Synapse, Event Hub, and Azure Data Lake Storage
  • Create data models for analytics, reporting, and downstream use
  • Integrate and process data from multiple sources while maintaining quality and consistency
  • Monitor and improve pipeline performance, reliability, and scale
  • Work with analysts, data scientists, and engineers to turn requirements into solutions
  • Strengthen data engineering practices, testing, and operational reliability
  • Assess and adopt tools and technologies for the data engineering ecosystem

Prasības

  • At least four years of practical experience in data engineering or building data processing platforms
  • Strong SQL skills
  • Solid Python experience developing pipelines
  • Experience with distributed processing frameworks such as Apache Spark or PySpark; Databricks is preferred
  • Practical experience designing and implementing pipelines in cloud environments; Azure is preferred
  • Experience with production-scale analytical systems and data modeling
  • Knowledge of ETL/ELT design, dimensional modeling, and data warehousing principles
  • Experience with modern data lake architectures and formats such as Parquet and JSON
  • Familiarity with workflow orchestration tools such as Airflow
  • Experience developing and optimizing databases
  • Ability to design scalable solutions with minimal supervision
  • Strong collaboration and communication skills
  • Professional proficiency in English

Priekšrocības

  • Opportunities for professional growth
  • Supportive work environment
  • Competitive benefits
  • Remote work option

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