The opportunity

The Cerebro team is responsible for providing customers the best insights and reporting capabilities in the market. Our main focus at the moment is to evolve the architecture for data massive storage and visualization, and we are looking for several data engineers.

If you are passionate about Data, finding and building solutions for complex challenges, and creating products that delight customers, you have the profile we are looking for.

We have 3 profiles in mind:

• Senior Data Engineer with experience in Data Warehouse
• Focused on supporting and enhancing our data warehouse, as well as collaborate closely with our data analytics team
• Senior Data Engineer with experience in Data Streaming systems
• Focused on restructuring and enhancing our current near real time data capabilities
• Mid/Senior Data Engineer with experience in Automation of Data Quality
• Focused on assuring data quality at all stages, and collaborate closely with data analytics team and other teams in Glia
  
  

Our challenges include:

• Creating and maintaining optimal data pipeline architecture
• Evolving the infrastructure for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Combining historical and real time data to generate meaningful insights for our customers
• Creating data tools for analytics team members that assist them in building and optimizing our product and business processes into an innovative industry leader
• Continuously evolving and improving our architecture to support business needs and growth challenges
• Assuring data quality to our customers

The team’s setup

Team Cerebro is a cross functional team composed of Engineers, Product Managers and working closely with Data Analysts. Team’s processes are supported by an Engineer manager. Team defines its work collaboratively with its stakeholders.

We have members in Tallinn and Tartu, Estonia, and Portugal, so our processes are optimized for remote collaboration. We work in the Eastern European time zone (EET/EEST).

Our tech stack

• Application: Elixir, Ruby, AWS
• Persistence: Amazon RDS for PostgreSQL, Apache Druid, Snowflake
• Monitoring: DataDog
• CI/CD: Jenkins
• Infrastructure as Code: Terraform, Ansible

Note: We are constantly evolving our tech stack to assure the usage of the right tools for the specific needs, and you will be part of the process.

Candidate requirements

• Experience designing and building highly reliable, scalable, and maintainable data systems.
• In-depth understanding of data modeling techniques and distributed data processing architectures
• In-depth understanding of database systems
• Experience with performance characterization, monitoring, and optimization
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytic skills related to working with datasets
• Experience building processes supporting data transformation, data structures, metadata, dependency and workload management
• Experience manipulating, processing and extracting value from large disconnected datasets
• Understanding and assuring Data Quality
• 3+ years of experience in a Data Engineer role
• Excellent written and spoken English communication skills

Nice to have

• Experience mentoring people
• Experience with one or more of: PostgreSQL, Redis, Cassandra, DynamoDB, Timestream,  Druid, Timescale
• Experience with stream processing and queuing systems (Kafka, RabbitMQ, Kinesis)
• Experience with data visualization
• Experience defining models and synthetic data for testing of various load and adverse network condition scenarios
• Understanding of Docker and Kubernetes

*Please don’t hesitate to apply even if you don’t meet all the requirements: if you are interested in the opportunity, we are happy to talk!