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SeniorFull-timePythonKubernetesDockerAIML
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Senior Data Engineer to join Howly, a global multi-product company within venture builder SKELAR. This role involves building and scaling the analytical data layer in a data warehouse during a period of active company growth, with real impact on product development.
Key Responsibilities
- βEnsure stability, accuracy, and availability of data for the entire company
- βConfigure, maintain, and optimize ELT processes using Airbyte
- βDevelop new integrations and control data quality for reporting
- βCreate and maintain analytical models in BigQuery using dbt
- βBuild monitoring and alerting processes for data pipelines
- βOptimize data aggregations according to business needs in close interaction with analysts
Requirements
- β4+ years of experience as a Data Engineer
- βProficient understanding of SQL for working with databases
- βAbility to write efficient and clean code for creating custom connectors in AirByte and configuring DAG-pipelines in AirFlow
- βBasic knowledge of Data Modeling, Data Patterns, and analytical data warehouse architecture (e.g., BigQuery)
- βUnderstanding of Docker and Kubernetes principles
- βUnderstanding of query optimization principles (partitioning, clustering, cost optimization)
Benefits
- β Full responsibility for the analytical data layer in DWH during active company scaling
- β Opportunity to play a key role in building and developing analytical infrastructure
- β Work with modern technological stack (BigQuery, dbt, Airflow) and participate in forming technical standards
- β Close collaboration with product teams and direct impact on product, marketing, and financial business efficiency
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