Position: Data Engineer
Company: Cloudfresh
Category: Data Engineer
Experience required: 2y
English level: upper

Cloudfresh is a global Google Cloud Premier Partner, Zendesk Premier Partner, Asana Solutions Partner, and GitLab Open Channel Partner.

At Cloudfresh, we put ourselves in your shoes and act as a vital link between your company and cloud technologies.

**More about us here — https://bit.ly/3cj86Tb**
**And here — https://bit.ly/3PErkB0**

We are currently looking for a **Data Engineer** to join our team. 
The Data Engineer will be responsible for designing, developing, and maintaining our data infrastructure, ensuring that data pipelines are efficient, reliable, and scalable. 
The ideal candidate will be passionate about data and possess excellent analytical, problem-solving, and communication skills. 

**What we expect from you:**
- B2+ English;
- Proven experience as a Data Engineer, with a minimum of 2 years of relevant work experience;
- Strong programming skills in Python;
- Experience with Big Data technologies such as Hadoop, Spark, and Kafka;
- Familiarity with cloud-based data storage and processing platforms such as AWS, Azure, or Google Cloud;
- Knowledge of database technologies such as SQL, NoSQL, and data warehousing;
- Strong problem-solving and analytical skills;
- Excellent communication and collaboration skills.

**Will be a plus:**
- Programming skills in Java or Scala;
- Bachelor's degree in Computer Science, Engineering, or a related field.

**Responsibilities:**
- Design, develop, and maintain data pipelines and infrastructure;
- Ensure data quality and integrity across various data sources and systems;
- Optimize data processing and storage for efficiency and scalability;
- Collaborate with cross-functional teams to design and implement data solutions;
- Develop and maintain ETL processes to extract, transform, and load data into various systems;
- Troubleshoot and resolve data-related issues in a timely manner;
- Stay up-to-date with industry trends and best practices in data engineering.

**We offer:**
- remote first (with the ability to work from an office in Kyiv or Prague if you need it);
- flexible and hybrid working hours: 9:00 AM to 6:00 PM or 10:00 AM to 7:00 PM;
- a clear and transparent motivation system (fixed + bonuses);
- all the necessary work equipment (Google laptop, superb headphones, monitors, etc.)
- a relaxed corporate culture with a young team and no bureaucracy;
- continuous personal and professional development through training programs and courses;
- the opportunity to work in an international IT company that has been growing for five years in a row;
- work with such products as Google, Asana, Zendesk, and GitLab;