GYTPOL, a first-of-its-kind platform that automates and error-proofs configuration security for connected devices, is looking to hire a Senior Backend Data Engineer to serve as our go-to authority on data architecture and data engineering.
The individual selected, our first hire in such a role, will demonstrate a passion for learning cutting-edge technologies and will be tasked with building a production-ready large-scale data pipeline.
Responsibilities:
- Maintain ETL + ELT data pipelines
- Construct SQL queries using ORM, manually optimizing queries when needed
- Deploy to both AWS & on-prem environments
- Handle upgrades and data migrations
- Develop backend features from end-to-end
- Monitor production logs
- Troubleshoot issues in production
- Plan and execute architecture changes
- Review backend code in search of bugs
- Conduct code reviews for other team members
- Cooperate with frontend team to ensure great backend & UI integration
- Write CI scripts to test your code
Requirements:
- 5+ years experience developing scalable backend code in high level languages (and Python)
- SQL fluency
- Experience decrypting ORM generated and optimizing SQL queries
- Experience writing migrations in raw SQL
- Familiarity with the data engineering tech stack: ETL and ELT tools (Airflow, Spark, Kafka, SQS, RDS, Athena, etc.)
- Experience working with/in cloud environments
- Comfortable owning projects from end-to-end — taking initiatives from idea to production
- Prior hands-on experience building large-scale data pipelines
- Experience working with containers and Kubernetes
- A self-starter with excellent problem-solving skills
- Ability to work both independently and collaboratively as a highly motivated team player
- Comfortable working in a remote or hybrid capacity
- Great async written English communication skills