Senior BigQuery Engineer

Luxoft Vezi toate joburile

  • București
  • Permanent
  • Full-time
  • Acum 1 lună
Project descriptionJoin our Development Center in Bucharest, and become a member of our open-minded, progressive and professional team. In this role you will be working on projects for one our world famous clients. You will have a chance to grow your technical and soft skills, and build a thorough expertise of the industry of our client. On top of attractive salary and benefits package, Luxoft will invest into your professional training, and allow you to grow your professional career.Responsibilities
  • We are looking for a Senior BigQuery Engineer to design and deliver high-performance data solutions supporting complex reporting functions, as well as migrating on-premises platforms to modern cloud-based ecosystems. You will work with large-scale financial datasets, ensuring secure, compliant, and low-latency data solutions that enable analytics and decision-making across the organization.
  • Design, develop, and maintain scalable data warehouse solutions in BigQuery, including dataset architecture, schema design, and data modeling (star/snowflake)
  • Design and implement a cloud-native data warehouse to replace on-premises infrastructure
  • Optimize performance through partitioning, clustering, query tuning, and workload management
  • Build data processing pipelines and workflows feeding BigQuery from multiple sources
  • Implement data quality checks, validation frameworks, and reconciliation processes
  • Work closely with product owners, analysts, to ensure solution align with the business requirements specification
SKILLSMust have
  • 5+ years of data engineering experience
  • Strong SQL knowledge, preferably on Google Cloud Platform (GCP)
  • Experience orchestrating workflows with Cloud Composer (Apache Airflow), including DAG development, scheduling, monitoring, and dependency management
  • Hands-on experience building data processing pipelines using Dataflow (batch and streaming)
  • Good understanding of data warehousing concepts, data flows, data feeds
  • Experience using Bitbucket for Git-based source control and collaboration
  • Ability to work collaboratively in a dynamic environment
Nice to have
  • Hands-on experience with Python/PySpark for scalable distributed data processing. • Experience with Infrastructure as Code (Terraform, Ansible, Chef). • Knowledge of shell scripting. • Experience in financial services or regulated environments

Luxoft