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Alliance for Recruitment
Senior Data Engineer
Alliance for Recruitment
Alliance for Recruitment

Senior Data Engineer

Alliance for Recruitment

Job description

  • Organize and structure raw data into a functional centralized data warehouse from various formats and databases.
  • Develop and maintain data pipelines and ETL/ELT processes.
  • Ensure data integrity and optimize workflows.
  • Build and manage CI/CD pipelines.
  • Implement real-time data streaming and monitoring.
  • Collaborate with stakeholders and provide technical support.

Requirements

  • Solid experience in Data Engineering (3+ years).
  • Strong Python, SQL, Docker skills.
  • Very good familiarity with data warehousing and its infrastructure.
  • Experience with ETL/ELT, Airflow, Git, and data warehousing.
  • Self-management and ability to meet sprint goals.

Company offers

  • Private health insurance.
  • Flexible hybrid work environment.
  • Ownership of data processes.
  • Professional growth in a collaborative environment.
Monthly gross salaryGross/mo  € 4500 - 6000

Location

    Vilnius, Vilniaus apskritis, Lithuania

Time of work

  • Full-time
Contact person
Elzė Laužikaitė
+37066031612

Alliance for Recruitment is the largest recruitment consultancy in the Baltics measured by capacity, number of successful placements and annual growth. We are a high performing team of recruitment experts from various different industries.

Our Client - SCORIFY is a rapidly growing company leveraging cutting-edge technologies in big data analytics, artificial intelligence, and machine learning. The company provides advanced data solutions to financial institutions, peer-to-peer lending platforms, telecoms, and central banks. SCORIFYs team of analysts and data experts focuses on developing products that offer insights through credit risk analysis, data integration, and comprehensive credit reports.

Their services include gathering and processing data from various sources, integrating with key systems like the Bank of Lithuanias risk database, and developing AI-driven models to assess creditworthiness and financial risks.

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