Data Engineer

This is a fully remote position, open to applicants in Ukraine.

📋 Description

• Design and construct scalable, cloud-native data architectures in BigQuery, focusing on optimal performance, maintainability, and cost-effectiveness.

• Develop, automate, and sustain ETL/ELT pipelines utilizing modern data stack tools and tailored solutions.

• Generate and enhance critical business data marts, aggregations, and analytical datasets for reporting, dashboarding, and product insights.

• Establish data quality frameworks, monitoring systems, logging, and alerting mechanisms to ensure data reliability.

• Continuously enhance the performance, scalability, and cost efficiency of production data infrastructure.

• Collaborate closely with Data Science teams to create dependable data services, infrastructure, and pipelines that support machine learning and advanced analytics initiatives.

• Work together with product, analytics, and engineering teams to define and implement scalable data solutions across the organization.

⛳️ Requirements

• A minimum of 3 years of experience as a Data Engineer working with large-scale data platforms and high-volume datasets.

• Strong proficiency in data modeling, data warehousing principles, and analytical data architecture design.

• Demonstrated experience in designing and developing intricate ETL/ELT workflows adhering to BI and data engineering best practices.

• Practical experience with BigQuery, encompassing partitioning, clustering, query optimization, and cost management.

• Advanced SQL skills with the capability to write and optimize complex analytical queries using Google SQL.

• Proficient in Python and data processing libraries such as Pandas and PySpark.

• Experience with ClickHouse, including an understanding of its architecture, performance optimization, and migration strategies.

• Solid knowledge of Google Cloud Platform services, including Cloud Storage, Pub/Sub, DataForm, IAM, and service accounts.

• Familiarity with Git, CI/CD practices, automated deployments, and environment management for data workflows.

• Strong grasp of monitoring, logging, data validation, and production-grade data quality practices.

• Excellent analytical thinking, problem-solving abilities, and capacity to work independently in a fast-paced environment.

• Strong communication and collaboration skills with both technical and non-technical stakeholders.

• Knowledge of product metrics, experimentation frameworks, and data-driven decision-making.

• At least 2 years of prior Software Engineering experience.

• Experience optimizing storage and computing resources to enhance infrastructure efficiency and minimize operational costs.

• Familiarity with 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 extra days off for public holidays.

• Complete coverage for medical insurance.

• Reimbursement for sports and equipment.

• Team-building events, corporate gifts, and stylish merchandise.

• Maternity Recovery Support Allowance.

• Financial and legal assistance.

• Position retention and support for those who enlist in the Armed Forces of Ukraine.

• Involvement in social initiatives supporting Ukraine.

• Option to work from our Kyiv hub or remotely with a flexible schedule.

• Access to 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 domain.

• Performance-oriented reviews and Individual Development Plans (IDPs).

• Reimbursement for professional courses and English language classes.

• Access to a corporate library, book club, and knowledge-sharing events.