Position: Data Engineer
Company: Busy Rebel Development LLC
Experience required: 5y
English level: intermediate

**Job Description:**

We are currently seeking a skilled **Data Engineer** (Part-Time) to join our team. As a Data Engineer, you will be responsible for managing and optimizing our data flow from various data sources, primarily Sticky CRM, into our MongoDB data warehouse. Our ETL processes, powered by Apache Airflow, handle the extraction, transformation, and loading of data into MongoDB. Your role will involve enhancing this data flow and ensuring its smooth operation.

**Responsibilities:**

- Monitor and maintain data flows, troubleshoot any issues that arise, and ensure data integrity and accuracy.
- Optimize data ingestion and transformation processes for enhanced performance and scalability.
- Develop and maintain ETL workflows using Apache Airflow to extract, transform, and load data into MongoDB.
- Collaborate with the internal team to understand the business needs and design data models accordingly.

**Requirements:**

- Proficiency in Python: Strong knowledge and experience with Python programming is essential for this role. You should be comfortable writing efficient and well-structured code to manipulate, transform, and analyze data.
- Proven experience as a Data Engineer, handling complex data workflows and ETL processes.
- Strong proficiency in Apache Airflow and MongoDB.
- Solid understanding of data warehousing concepts and methodologies.
- Familiarity with CRM systems, especially Sticky CRM, is a plus.
- Experience with data visualization tools, such as Power BI or similar Microsoft tools, is advantageous.

**Employment Details:**

This position initially offers part-time engagement with flexible working hours.
There is a possibility to transition to a full-time role based on performance and company needs.

If you are a skilled Data Engineer with a passion for optimizing data flows, ensuring data integrity, and delivering valuable insights, we encourage you to apply. Join our team and contribute to the enhancement and maintenance of our data ecosystem, enabling efficient data utilization for internal usage.