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Backend Data Engineer
3 months ago
Data Engineer
As a Data Engineer, you will be responsible for building, testing, and maintaining data architectures, such as databases and large-scale processing systems. Your role will involve collaborating with a team of data scientists, engineers, and analysts to meet their requirements and ensure that our data systems are accessible, dependable, and scalable.
The ideal candidate should possess a strong background in backend development using Python, be acquainted with TypeScript, and have practical experience with Neo4j, Apache Airflow, and ETL procedures.
Key Responsibilities:
- Design, construct, test, and maintain data architectures, which include databases and large-scale processing systems.
- Create effective data pipelines for acquiring, storing, and transforming extensive datasets.
- Collaborate with data scientists and analysts to comprehend data needs and develop suitable solutions.
- Ensure the availability, reliability, and scalability of data systems.
- Establish and manage ETL procedures for integrating and warehousing data.
- Monitor and enhance the performance of data systems and procedures.
- Implement security and privacy measures for data.
- Stay informed about the latest technologies and top practices in data engineering.
- Contribute to backend engineering ventures, including building and sustaining microservices and APIs.
- Engage in development and integration tasks using TypeScript.
Requirements:
- Bachelor's degree or higher in Computer Science, Engineering, or a related field.
- Proficient programming abilities in Python.
- Background in backend development and API incorporation.
- Proficiency in TypeScript considered beneficial.
- Hands-on experience with Neo4j, Apache Airflow, and ETL processes.
- Solid comprehension of database design and data modeling.
- Experience with substantial data processing and distributed computing systems.
- Strong problem-solving aptitude and meticulous attention to detail.
- Exceptional communication and collaboration skills.