We are Semrush, a global IT company developing our own product – a platform for digital marketers. New stars are born here, so don’t miss your chance. This is our Data Engineering and QA Team Lead role for those who want to turn ideas into reality and participate in improving Semrush’s analytics tools.
Tasks in the role
Leadership of the team of Data Engineers and QA Engineers to maintain and improve:
Data Architecture
Cloud Infrastructure
CI/CD
Data Pipelines / Data Modelling
Data Quality
QA practices
Monitoring & Alerting
Team functions:
Creation Data Architecture Strategy
Improvement of Incident Management
Develop and deploy IaaC using Terraform to ensure scalable and reliable data systems
Create and manage CI/CD pipelines in GitLab for automated testing and deployment of data solutions
Design, develop, and maintain data pipelines using BigQuery, Airflow & dtb
Monitor and troubleshoot cloud infrastructure, data pipelines, and workflows to ensure data quality and availability
Implement data models and optimize data storage, retrieval processes, and costs
Migrate existing data infrastructure & pipelines from the legacy to the contemporary solutions
Development and maintenance of ML / AI ecosystem / tools / workflows
Orchestrate Testing Activities in the Analytics Division for Dashboards, Data Transformations, Data, Requirements etc.
Definition & Delivery of Data Quality Metrics
Introduction of Automation Testing
Biggest projects for the upcoming 6 months:
Infrastructure migration between cloud regions
Introduction of DWH 2.0
Deployment & customization of Data Catalogue & Data Lineage (could be datahub, atlas, or similar)
CI/CD improvement to downstream checks
Introduction of QA Strategy
Who we are looking for
Hard Skills
Hands-on IaaC tools (we use Terraform)
Proficient in Version control systems (we use GitLab)
Proficient in CI/CD tools (we use GitLab)
SQL senior level (proficient in windows functions, optimizations)
Java & Python middle level
Proficient in Pipeline Orchestration, incl. Deployment, management and usage (we use Airflow, dbt)
Proficient in Monitoring & alerting (we use Grafana, Opsginie, Slack)
Task Management (we use Jira)
Documentation management (we use Confluence)
Containers (we use Kubernetes)
Soft Skills
High project management skills: end-to-end value delivery of data projects: from business requirements gathering, through requirements clarification, requirements decomposition, clarification, to project roadmapping, prioritizing, tasks decomposition, execution, execution tracking, delegation, project communications, project closure, business value delivery
Proactiveness
Readiness to make efficient decisions by themselves with minimal micromanagement
Strategic thinking
Ability to solve high-level business problems either by themselves or by involving other teammates
Excellent problem-solving skills and attention to detail
3+ years of DE experience (or Backend/DataScience 2+ years & DE 1+)
2+ years of experience with one of the Top-3 Cloud Providers
1+ years of experience in people management
Not required, but a plus
Business Experience
Experience as DE for b2c SaaS
Tech Experience
Airflow
dbt
Software engineering
API management
Tableau / Power BI
You share our common values: Trust, because we prefer to speak up and be our true selves; Sense of Ownership, because it’s not worth wasting time on something you don’t believe in; and enthusiasm for Constant Changes, because we are always looking to make things better
We will try to create all the right conditions for you to work and rest comfortably
This offer stands for the remote work format. Digital nomadism, #wfh – call it what you like ;)