About Qualysoft
· 25 years of experience in software engineering, established in Vienna, Austria
· Active in Romania since 2007, with office in central Bucharest (Bd. Iancu de Hunedoara 54B)
· Delivering End to End IT Consulting Services - From Team Augmentation and Dedicated Teams to Custom Software Development
· We deliver scalable enterprise systems, intelligent automation frameworks, and digital transformation platforms
· Cross-industry experience by sustaining global players in BSFI (Banking, financial services and insurance), Telecom,Retail & E-commerce, Energy and Utilities, Automotive, Manufacturing, Logitics, High Tech
· Global Presence: Switzerland, Germany, Austria, Sweden, Hungary, Slovakia, Serbia, Romania, and Indonesia
· International team of 500+ software engineers
· Strategic partnerships: Microsoft Cloud Certified Partner, Tricentis Solutions Partner in Test Automation and Test Management, Creatio Exclusive Partner, Doxee Implementation Partner
· Powered by cutting-edge technologies: AI, Data & Analytics, Cloud, DevOps, IoT, and Test Automation.
· Project beneficiaries ranging from large-scale enterprises to startups
· Stable growth and revenue increase year over year, a resilient organisation in volatile IT market conditions
· Quality-first mindset, culture of innovation, and long-term client partnerships
· Global and local reach – trusted by key industry players in Europe and the US
Responsibilities:
Design, optimize, and maintain scalable data solutions using Google Cloud Platform, with a strong focus on BigQuery.
Analyze and improve BigQuery query performance, ensuring efficient execution and reduced processing costs.
Implement best practices for BigQuery architecture, including partitioning, clustering, table design, and data lifecycle management.
Develop and optimize complex SQL queries for analytical and reporting workloads.
Monitor query performance, troubleshoot bottlenecks, and provide performance tuning recommendations.
Collaborate with Data Engineers, Analysts, and business stakeholders to understand data requirements and deliver scalable solutions.
Design and maintain ETL/ELT pipelines using GCP services such as Dataflow, Pub/Sub, and Google Cloud Storage.
Create automation scripts using Python or similar programming languages for reporting, monitoring, and optimization tasks.
Manage and optimize BigQuery costs by analyzing usage patterns and implementing cost-efficient strategies.
Utilize GCP monitoring and logging tools to track system health, resource utilization, and query performance.
Define and document best practices, standards, and optimization guidelines for BigQuery and GCP environments.
Support data modeling activities for analytical and business intelligence solutions.
Stay updated with new GCP and BigQuery features, industry trends, and cloud optimization techniques.
Qualifications:
Strong hands-on experience with Google Cloud Platform (GCP), especially BigQuery.
In-depth understanding of BigQuery architecture, storage, partitioning, clustering, materialized views, and query optimization techniques.
Advanced SQL knowledge with proven experience writing and optimizing complex queries.
Experience analyzing query execution plans and identifying performance bottlenecks.
Solid understanding of BigQuery pricing models, cost optimization strategies, and resource management.
Experience designing and implementing ETL/ELT pipelines in cloud environments.
Knowledge of GCP services such as Google Cloud Storage, Dataflow, Pub/Sub, and their integration with BigQuery.
Strong data modeling skills for analytical and reporting solutions.
Experience with monitoring and observability tools such as Cloud Monitoring and Log Analysis.
Proficiency in Python or similar scripting languages for automation and operational improvements.
Ability to benchmark system performance and recommend scalability improvements.
Strong communication and stakeholder management skills.
Experience creating technical documentation, standards, and operational guidelines.
Ability to work collaboratively in cross-functional and Agile environments.
Continuous learning mindset with interest in staying current on GCP and cloud data technologies.