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Data Engineer
Skills
SQLAmazon RedshiftAnalytical SkillsAnalyticsData EngineeringEngineeringExtract
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 1–4 years of experience in data engineering analytics engineering or a related role
- Solid SQL skills and working knowledge of Python
- Familiarity with data warehousing concepts and modern data flow
- Hands-on experience with dbt Airflow Terraform Snowflake BigQuery or Redshift
- Experience with cloud data platforms in AWS Azure or GCP
- Curiosity-driven mindset with strong problem solving
- Good communication skills and cross-functional comfort
- Willingness to take ownership and follow through
Nice to have
- Curiosity-driven
- Collaborative
- Cross-functional
- Ownership mindset
- Detail oriented
Day to day
- Build and maintain reliable ETL and ELT pipelines across the modern data stack
- Model clean and well-documented datasets that support analytics reporting and experimentation
- Collaborate with analysts product teams and engineers to improve data quality accessibility and instrumentation
- Write tested readable and well-documented SQL and Python code while contributing to reviews and infrastructure ideas
Hiring process
- Apply via Ashby careers page
- Recruitment contact via @arbinteractive.com email or Ashby
- Forward suspicious messages to recruiting@arbinteractive.com for verification