Data Architect and Engineer Leader
3 days ago
At Mindbox S.A., we are committed to creating a dynamic work environment where talented professionals can thrive.
We use our expertise and courage to introduce innovative technology solutions that drive business growth.
Our team operates across four key areas:
Autonomous Enterprise - We leverage RPA, OCR, and AI to automate business processes.
Business Management Systems ERP - Our experts implement, adapt, optimize, and maintain flexible, secure, and open ERP systems for global production and distribution companies.
Talent Network - We provide access to top-tier specialists who can help businesses achieve their goals.
Modern Architecture - We design and build integrated, sustainable, and open CI/CD environments based on containers, enabling safe and frequent delivery of proven changes in application code.
We treat technology as a tool to achieve specific objectives. Our consultants' reliability and proactive approach ensure that initial projects often become long-term partnerships. With over 16 years of experience, we have provided various services to support clients in digital transformation.
Your daily duties will involve designing, implementing, and maintaining scalable data infrastructure, optimizing data pipelines, and ensuring data integrity across multiple platforms. You'll collaborate with cross-functional teams to drive data-driven decisions and contribute to the development of advanced analytics tools. If you enjoy creating impactful solutions and working in a collaborative environment, this role may be suitable for you.
Key Responsibilities:
- Design and implement scalable data infrastructure.
- Optimize data pipelines for efficiency.
- Maintain data integrity across various platforms.
- Collaborate with cross-functional teams to drive data-driven decisions.
- Contribute to the development of advanced analytics tools.
Requirements:
- Proficiency in Python, Java, Scala programming languages.
- Experience with data pipeline and workflow management tools (e.g., Apache Airflow).
- Strong knowledge of data processing technologies and database systems (SQL, NoSQL).
- Familiarity with cloud services (AWS, GCP, Azure).
Benefits:
- A supportive and collaborative work environment.
- Ongoing training and professional development opportunities.
- Comprehensive benefits package including sport subscription, private healthcare, and life insurance.
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