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intellias Lever · Posted 28d ago

Data Engineer

Kyiv Full-time

Project Management Operations Lever
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Indexed description

We believe in the power of people. Because the potential for people to do something outstanding has everything to do with being in the right role, on the right team, at the right time. That’s where Intellias Sandbox comes in.
  • Required skills:

    • Proven experience as a Data Engineer, with a strong understanding of data architecture principles, practices, and technologies.
    • 4+ years of overall development experience.
    • 2+ years of experience with Azure services (Microsoft Fabric is a must, Data Factory, Azure Storage, Purview, etc.)
    • Solid experience with at least one programming language (Python, Scala, Java, etc.).
    • Proven experience building DWH and data lakes, designing ELT / ETL processes.
    • Deep understanding of data governance, data management, and data quality concepts.
    • Excellent analytical and problem-solving skills, with the ability to analyze complex data requirements and translate them into practical data architecture solutions.
    • Proficiency in data modeling tools.
    • Strong communication and collaboration skills to effectively interact with business stakeholders and technical teams.

    Will be a plus:

    • Experience with DataOps, data mesh etc.

  • Responsibilities:
    • Design and create conceptual, logical, and physical data models for various data domains
    • Define data standards, data governance policies, and data management processes to ensure data quality, consistency, and security throughout the organization.
    • Evaluate and recommend appropriate data storage, integration, and processing technologies, including data warehouses, data lakes, and cloud-based solutions.
    • Collaborate with data engineering and development teams to implement data integration, and ETL/ELT processes.
    • Define and implement data security and access controls to protect sensitive data and ensure compliance with data privacy regulations.
    • Collaborate with infrastructure and operations teams to ensure scalability, availability, and performance of data platforms and environments.
    • Document data artifacts, including data models, data flow diagrams, and system integrations.
We offer a full slate of benefits from competitive salaries, stock options, fully paid options for health coverage (medical, dental and vision), disability coverage, employer paid life insurance, mental health resources, financial wellness benefits, and a fully paid parental leave program. For US-based employees, we offer flexible vacation and a 401(k) matching program. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
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