Rolique is a custom software boutique that provides solutions for a business breakthrough. We are a crew of skilled 80+ tech mates based in Lviv. Our culture is clear: we value honesty, simplicity, and fair play. From 2014 till now, we've been progressing every day, creating things that matter. Established web and mobile experts, we're proceeding as solution engineers.
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· 65 views · 5 applications · 11d
Data engineer
Ukraine · 6 years of experience · B2 - Upper IntermediateWe are seeking a skilled and motivated Data Engineer to join our team. In this role, you will be responsible for designing, building, and maintaining robust data pipelines and infrastructure that support analytics, machine learning, and business...We are seeking a skilled and motivated Data Engineer to join our team. In this role, you will be responsible for designing, building, and maintaining robust data pipelines and infrastructure that support analytics, machine learning, and business intelligence initiatives. You’ll collaborate closely with the tech team, product design team, and COO on business goals and priorities.
Data Engineering plays a vital role in ensuring the success of our marketplace platform. Connecting companies and GIG workers is at the heart of the business model. Both sides of the marketplace rely on Search, Matching, and Suggestion capabilities — all of which are driven by data. The more effective these systems are, the stronger our business becomes.
Requirements:
● bachelor's degree in Computer Science, Engineering, Information Systems, or related field
● proficiency in SQL
● experience with Elasticsearch or similar technologies
● experience with modern data platforms (e.g., Snowflake, BigQuery, Redshift)
● familiarity with data pipeline orchestration tools (e.g., Airflow, dbt, Luigi)
● knowledge of cloud platforms (AWS, GCP) and related data services
● strong understanding of data modeling, normalization, and warehousing conceptsWould be a plus:
● exposure to DevOps practices and CI/CD pipelines
● familiarity with data governance, lineage, and cataloging tools
Responsibilities:
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● design, develop, and enhance sophisticated matching and recommendation systems
● build and maintain scalable ETL/ELT data pipelines
● work with structured and unstructured data from internal and external sources
● implement data quality checks and monitoring systems to ensure data integrity
● build and manage data warehouses, data lakes, or other storage systems
● collaborate with cross-functional teams to understand data requirements
● optimize database performance and ensure data availability and security
● automate data processes and develop reusable frameworks and tools
● maintain documentation related to data architecture and pipelines