Glia Launches First-Ever Benchmark Report for Financial Service Customer Interactions! Our award-winning technology powers conversations with customers for some of the world's largest enterprises. We believe that combining the human touch with technology is the best way to create amazing customer experiences. When human abilities such as problem-solving, creative thinking, and relationship building are enhanced with technology... magical moments happen. The work At Glia, the data team (named Cerebro) is at the heart of all things data. You will be working on modeling our next generation data models, transformation layer, warehousing, and ingestion pipelines. Working in an established team of engineers, partnering with product teams, analysts, and stakeholders to bring business-critical data solutions to life. Working on our data solutions built on Snowflake, Redshift, Druid, S3, and dbt. Working on strategic long-term initiatives, implementing stream-based data ingestion pipelines on Kafka. The team's setup Team Cerebro is a dynamic cross-functional team that brings together skilled Engineers and product Managers and collaborates closely with Data Analysts to drive innovation and deliver high-impact solutions. We have members in Tallinn and Tartu, Estonia, Poland, and Portugal, so our processes are optimized for remote collaboration. We work in the Eastern European time zone (EET/EEST). Our current tech stack Current Persistence Solutions: Amazon RDS for PostgreSQL, Apache Druid, Snowflake, S3 Monitoring: DataDog CI/CD: Jenkins Infrastructure as Code: Terraform, Ansible Other: AWS services, Kafka, DBT, Amazon Quicksight, GitHub Note: We are constantly evolving our tech stack to ensure the usage of the right tools for specific needs, and you will be part of the process of choosing new technologies. Candidate requirements Practical experience with creating implementation-ready analytical data models based on domain/business data models. Proven track record of implementing data warehousing, ingestion, and transformation solutions. Extensive experience in technical leading, planning, and hands-on implementation of data-related strategic initiatives and projects. Proactive, collaborative, open-minded, and solution-oriented. Proficiency and recent experience in Redshift, Snowflake, dbt, Druid, Kafka, or equivalent big data tech. Programming languages - we are a Ruby & Elixir shop to a large degree, but we welcome engineers with all backgrounds. Data infrastructure know-how (managing via Terraform) is a big plus. *Glia is an equal-opportunity employer. Glia does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. #J-18808-Ljbffr
