Senior Data Engineer ID20476

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.