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Tech Stack
Tools & technologiesAirflowAWSAzureCloudDockerETLGoogle Cloud PlatformNumpyPandasPythonSQL
About the role
Key responsibilities & impact- Collaborate with the team to define goals and deliver custom data solutions.
- Innovate with new tools to improve Mutt Data's infrastructure and processes.
- Design and implement ETL processes, optimize queries, and automate pipelines.
- Own projects end-to-end—build, maintain, and improve data systems while working with clients.
- Develop tools for the team and assist in tech migrations and model design.
- Build scalable, high-performance data architectures.
- Focus on code quality—review, document, test, and integrate CI/CD.
Requirements
What you’ll need- Experience in Data Engineering, including building and optimizing data pipelines.
- Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter).
- Experience working with any cloud (AWS, GCP, Azure, DBS or DBT).
- Basic knowledge of Docker.
- Experience with orchestration tools like Airflow or Prefect.
- Familiarity with ETL processes and automation.
Benefits
Comp & perks- 🚀 In-Company English Lessons.
- 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- 🎂 Birthday off
- 🤝 Referral bonuses – help us grow the team & get rewarded!
- ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
- 👶 Monthly Childcare Reimbursement – Because supporting families matters too
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data Pipeline OptimizationETL Process DesignData Architecture DevelopmentCode Quality AssuranceAutomation
Soft Skills
CollaborationProblem-Solving
