Middle Data Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Ajax Systems is a full-cycle company working from idea generation and R&D to mass production and sales. We do everything: we produce physical devices (the system includes many different sensors and hubs) write firmware for them develop the server part and release mobile applications. The whole team is in one office in Kyiv all technical and product decisions are made locally. Were looking for a Data Engineer to join us and continue the evolution of a product that we love: someone who takes pride in their work to ensure that user experience and development quality are superb.
We are looking for a Middle Data Engineer to join our team and take responsibility for developing and optimizing ETL processes working with relational databases and maintaining our existing data infrastructure
The role includes a balance of data engineering and backend engineering tasks: building and maintaining Airflow pipelines troubleshooting and optimizing SQL queries in PostgreSQL/MySQL and occasionally extending REST APIs in FastAPI/Django to provide data services.
Tasks and responsibilities:
- Design develop and maintain ETL pipelines;
- Troubleshoot queries to address critical production issues;
- Assist other team members in refining complex queues and performance tuning;
- Extend existing REST API services using FastAPI/Django;
- React to monitoring alerts and ensure the stability and reliability of pipelines.
Job Description:
- 3 years of experience in Data Engineering.
- Strong knowledge of SQL (optimization indexing query performance tuning).
- Hands-on experience with Airflow (or equivalent orchestration tools).
- Knowledge of Python and experience with data-related libraries.
Nice to have:
- Experience in working with large volumes of data and databases.
- Familiarity with REST API development (preferably FastAPI / Django / DRF).
- Experience with monitoring and logging tools (ElasticSearch Kibana).
- Experience with Docker and CI/CD pipelines.
- Understanding of cloud data platforms (AWS/GCP/Azure).
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Ajax alarm system includes everything you need to protect your property | Professional home security system that combines CCTV, fire alarm and automation
