Senior Data Engineer
hace 7 días
ID: 14686
**What you will do**
- Design and implement data pipelines using DBT for transformation and modeling;
- Manage and optimize data warehouse solutions on Snowflake;
- Develop and maintain ETL processes using Fivetran for data ingestion;
- Utilize Terraform for infrastructure as code (IaC) to provision and manage resources in AWS, Snowflake, Kubernetes, and Fivetran;
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions;
- Implement workflow automation using Argoworkflows to streamline data processing tasks;
- Ensure data quality and integrity throughout the data lifecycle.
**Must haves**
- Bachelor’s degree in Computer Science, Engineering, or related field;
- 5+ years of experience working with Python;
- Proven experience as a Data Engineer with a focus on DBT, Snowflake, ArgoWorkflows, and Fivetran;
- Strong SQL skills for data manipulation and querying;
- Experience with cloud platforms like AWS or Azure;
- Experience with Kubernetes;
- Familiarity with data modeling concepts and best practices;
- Excellent problem-solving skills and attention to detail;
- Ability to work independently and collaborate effectively in a team environment;
- Upper-intermediate English level.
**Nice to haves**
- +2 years experience with Golang.
**The benefits of joining us**
- **Professional growth**
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
- **Competitive compensation**
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
- **A selection of exciting projects**
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
- **Flextime**
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office - whatever makes you the happiest and most productive.
Work Location: Remote
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