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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable data integration solutions and data pipelines within Google Cloud Platform (GCP), utilizing SQL, Python, and dbt. Proven ability to mentor developers, ensure platform reliability, and contribute to CI/CD practices and DevOps principles.
Highest-signal resume keywords
Google Cloud Platform (GCP)Data Integration SolutionsSQLPythonApache Airflow
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelsData StructuresData PipelinesData OnboardingCI/CD PipelinesTest AutomationDevOps PrinciplesAutomationQuality AssuranceVersion Control
Soft Skills
CollaborationMentoringCode ReviewsStakeholder EngagementCommunication
Tools & Technologies
DbtGitLabGitHubApache Airflow
Industry Keywords
Cloud Data WarehouseOperational ExcellenceAgile EnvironmentData Transformation
Tech Stack
Tools & technologiesAirflowApacheCloudGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Build a next-generation cloud data warehouse platform in GCP for fund and portfolio services
- Design and build scalable data integration solutions, data models, data structures, and data pipelines in GCP
- Onboard data and integrate data from multiple source systems
- Participate in requirements analysis, development, testing, deployment, and stakeholder collaboration
- Monitor, troubleshoot, and improve data platform and pipeline reliability and performance
- Develop data transformations, models, and automation using SQL, Python, and dbt
- Orchestrate and schedule workflows with Apache Airflow
- Contribute to DevOps practices, automation, operational excellence, and platform reliability
- Strengthen CI/CD pipelines and modern version control practices using GitLab and GitHub
- Mentor developers, perform code reviews, promote best practices, and contribute to architecture and design decisions
Requirements
What you’ll need- Extensive experience designing and implementing data integration solutions, data models, data structures, and scalable data pipelines within Google Cloud Platform (GCP)
- Strong knowledge of data onboarding and integrating data from multiple source systems
- Experience monitoring, troubleshooting, and ensuring data platform and pipeline reliability and performance
- Proficiency in SQL, Python, and dbt
- Hands-on experience with Apache Airflow
- Solid understanding of DevOps principles, automation, operational excellence, and platform reliability
- Experience with GitLab, GitHub, and modern version control in an Agile environment
- Proven experience designing and maintaining CI/CD pipelines
- Strong focus on testing, quality assurance, and test automation
- Ability to collaborate with business stakeholders, architects, engineers, and cross-functional teams
- Experience mentoring and coaching developers, conducting code reviews, and contributing to architecture and design decisions
- Full professional proficiency in English, written and spoken
Benefits
Comp & perks- Permanent employment at Avaron AB
- Occupational pension
- Wellness allowance of SEK 5,000 per year
- Hybridarbete