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Data Engineer
United TechData Engineer developing scalable data architectures with a focus on high-volume data platforms and analytics for international products. Collaborating with Data Science and engineering teams to improve data-driven decisions.
Tech Stack
Tools & technologiesBigQueryCloudETLGoogle Cloud PlatformPandasPySparkPythonSQLTableau
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringETLELTdata modelingdata warehousingBigQuerySQLPythonPandasPySpark
Soft Skills
analytical thinkingproblem-solvingcommunicationcollaborationindependenceadaptabilitystakeholder engagementteamworkcritical thinkingtime management