Data Engineer

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United Tech

201 - 500 employees

United Tech is

📋 Description

• Design and develop scalable, cloud-native data architectures in BigQuery, ensuring optimal performance, maintainability, and cost efficiency • Build, automate, and maintain ETL/ELT pipelines using modern data stack tools and custom solutions • Create and optimize business-critical data marts, aggregations, and analytical datasets for reporting, dashboarding, and product insights • Implement data quality frameworks, monitoring systems, logging, and alerting mechanisms to ensure data reliability • Continuously improve performance, scalability, and cost efficiency of production data infrastructure • Partner closely with Data Science teams to build reliable data services, infrastructure, and pipelines supporting machine learning and advanced analytics initiatives • Collaborate with product, analytics, and engineering teams to define and deliver scalable data solutions across the organization

🎯 Requirements

• 3+ years of experience as a Data Engineer working with large-scale data platforms and high-volume datasets • Strong expertise in data modeling, data warehousing concepts, and analytical data architecture design • Proven experience designing and developing complex ETL/ELT workflows following BI and data engineering best practices • Hands-on experience with BigQuery, including partitioning, clustering, query optimization, and cost management • Strong SQL skills with the ability to write and optimize complex analytical queries using Google SQL • Proficiency in Python and data processing libraries such as Pandas and PySpark • Experience working with ClickHouse, including architecture understanding, performance optimization, and migration approaches • Solid knowledge of Google Cloud Platform services, including Cloud Storage, Pub/Sub, DataForm, IAM, and service accounts • Experience with Git, CI/CD practices, automated deployments, and environment management for data workflows • Strong understanding of monitoring, logging, data validation, and production-grade data quality practices • Excellent analytical thinking, problem-solving skills, and ability to work independently in a fast-paced environment • Strong communication and collaboration skills with both technical and non-technical stakeholders • Understanding of product metrics, experimentation frameworks, and data-driven decision making • 2+ years of previous Software Engineering experience • Experience optimizing storage and compute resources to improve infrastructure efficiency and reduce operational costs • Experience integrating data platforms with BI tools such as Tableau or Looker

🏖️ Benefits

• 20 paid vacation days, 15 sick days, and 6 additional days off for family events • Up to 10 additional days off for public holidays • 100% medical insurance coverage • Sports and equipment reimbursement • Team building events, corporate gifts, and stylish merch • Maternity Recovery Support Allowance • Financial and legal support • Position retention and support for those who join the Armed Forces of Ukraine • Participation in social initiatives supporting Ukraine • Work from our Kyiv hub or remotely with a flexible schedule • Modern equipment or depreciation of your own tools • Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche • Performance-oriented reviews and Individual Development Plans (IDPs) • Reimbursement for professional courses and English classes • Corporate library, book club, and knowledge-sharing events

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