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DataArt

Senior Data Engineer

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    Tech Stack / Изисквания

     

    About DataArt

    DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our world-class team designs and engineers data-driven, cloud-native solutions to deliver immediate and enduring business value.

    We promote a culture of radical respect, prioritizing your personal well-being as much as your expertise. We stand firmly against prejudice and inequality, valuing each of our employees equally.

    We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth.

    Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career.

    DataArt’s Data & Analytics Competence Center designs and implements modern data and analytics solutions for mid and large-sized organizations. We are looking for a Data Engineer who will join our rapidly growing team.

     

    Responsibilities

    • Develop, operate, optimize, test, and maintain the business’s data warehouse, as well as develop ETL processes, cube development for database and performance administration, and dimensional designing of table structures
    • Drive the full life-cycle of back-end development of the business’s data warehouse, as well as develop ETL processes, cube development for database and performance administration, and dimensional designing of table structures
    • Identify, design, and implement internal process improvements, including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
    • Define data retention policies
    • Build analytical tools to utilize the data pipeline, providing actionable insights into key business performance metrics, including operational efficiency and customer acquisition
    • Choose and integrate tools for monitoring, managing, alerting, and improving customer database performance
    • Develop and implement automated processes that ensure uninterrupted updating and correction of database vulnerabilities
    • Assemble large, complex sets of data that meet non-functional and functional business requirements

     

    Requirements

    • 5+ years of experience or over 5 completed projects
    • Knowledge of data management fundamentals (data modeling, ELT/ETL, data quality, metadata management, data warehouse/lakes patterns, distributed systems)
    • AWS/Azure cloud
    • Snowflake and Databricks are must-haves
    • Strong proficiency with SQL and its variations among popular databases
    • Experience with some modern relational databases
    • Knowledge of the programming language Python