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

*When applying, please send me a message on LinkedIn confirming that you have read the job description.