Data Engineer: Building Cutting-Edge Analytics Systems
3 tygodni temu
About NG Logic
NG Logic is a leading digital product company specializing in transforming clients' visions into innovative solutions. With over 20 years of experience, we have established ourselves as experts in building custom web and mobile applications, microservices, migrations, integrations, and product design. Our team utilizes a wide range of technologies, including Golang, Python, Java, React, Android, iOS, Ruby on Rails, Django, and Spring.
Why Work with Us?
We combine the IT excellence of a product company with the effective project management of outsourcing companies. This unique approach has earned us recognition as a 2022 Clutch Leader. We take pride in our collaborative work environment, where every team member has the opportunity to contribute their expertise and grow professionally.
Job Description
We are seeking an experienced Data Engineer to join our team. As a Data Engineer, you will play a crucial role in designing and implementing robust data systems using cutting-edge technologies such as Spark, Kubernetes, ElasticSearch, and Python. You will collaborate closely with our team to develop backend systems, design and optimize data pipelines, and integrate data pipelines with machine learning models.
Responsibilities:
- Backend System Development: Develop scalable and efficient backend systems using Python.
- Data Pipeline Design and Optimization: Design, build, and optimize data pipelines to support large-scale analytics systems.
- Stream Processing and Batch Processing: Work on large-scale batch and stream processing systems, leveraging technologies like Kafka and Hadoop.
- Data Integration and Machine Learning: Collaborate with Data Scientists and Machine Learning Engineers to integrate data pipelines with machine learning models.
- Database Management: Manage and optimize databases, utilizing expertise in SQL and PostgreSQL.
- Workflow Orchestration: Contribute to potential Airflow implementation for workflow orchestration.
Requirements:
- At least 5 years of experience in data engineering or backend development roles.
- Advanced proficiency in Python for backend systems and data pipelines.
- Experience with large-scale data in production systems.
- Strong understanding of SQL and PostgreSQL databases.
- Hands-on experience with cloud environments, particularly AWS (100% cloud-based).
- Familiarity with batch processing systems (e.g., Hadoop, PySpark).
- Experience with stream processing frameworks, such as Kafka.
- Knowledge of ElasticSearch for search functionality in data platforms.
Benefits and Perks:
- Competitive Salary: 500 PLN/month – a salary that reflects your expertise and dedication.
- Full-time Remote Work: Work from anywhere in the world and enjoy a healthy work-life balance.
- 20 Days of Annual Leave + Bank Holidays: Take time off to recharge and pursue your passions.
- Opportunities for Growth: Continuously learn and grow with our team, developing new skills and expertise.
- Diverse and Experienced Team: Collaborate with professionals who share your passion for innovation and technology.
GDPR DATA PRIVACY NOTICE: In accordance with Article 13(1) and (2) of the GDPR, we inform you that we will process your personal data for the purpose of conducting the recruitment process and, if consented to, future recruitment processes. You have the right to access, rectify, erase, restrict processing, portability, and object to data processing.
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