2 months ago
Tel Aviv-Yafo, IsraelMid Level
Responsibilities
- Co-own portions of the product roadmap and backlog and help define and scope future product capabilities.
- Design, implement, maintain, and propose new product features from initial specification through production.
- Review pull requests and contribute to code quality and engineering standards.
- Improve codebase health by addressing technical debt and participating in dedicated housekeeping work.
- Collaborate with teammates to provide feedback, identify unknowns, and plan upcoming work.
- Operate and support backend services, ETL processes, and data pipelines in production.
Requirements
- At least 3 years of hands-on experience in data engineering, backend engineering, or a similar field.
- At least 2 years of practical experience with Python, Spark, and PySpark.
- Experience building ETL processes and working with big-data technologies such as Pub/Sub.
- Familiarity with Terraform and CI/CD methodologies.
- Experience building or operating data pipelines in a production SaaS cloud environment.
- Ability to learn tools quickly, use AI effectively, and apply sound engineering judgment.
- Strong collaboration, independent contribution, communication, pragmatic problem-solving, and iterative development skills.
- A BA/BS degree or equivalent practical experience is a bonus qualification.
- Experience with C++ or C# and familiarity with Google Cloud Platform are bonus qualifications.
Benefits
- Fully on-site work from the Attribute Tel Aviv office.
- Unlimited vacation, flexible working options, health insurance, and parental leave.
- Employee stock option plan and home office allowance.
- Professional development stipend and peer recognition program.
Categories
BackendData Engineering
About DoiT
DoiT builds a multicloud management and FinOps platform, combined with embedded cloud engineering services, for companies running on AWS, Google Cloud, and Azure. It helps customers optimize costs, simplify billing, and improve architectures across Kubernetes, BigQuery, Snowflake, and Databricks. Founded in 2011 and headquartered in Santa Clara, it is a privately held cloud partner with a $100M Series A raised in 2019.