
Senior Data Systems Architect
1 week ago
We are seeking a highly skilled and experienced Senior Data Engineer to design, develop, and optimize scalable data pipelines. The ideal candidate will have a deep understanding of data architecture, ETL processes, and cloud technologies.
Main Responsibilities:
- Data Infrastructure Design and Development
- Data Architecture and Modelling
- Technology and Tools Management
- Collaboration and Mentorship
- Performance Optimization and Security
Required Skills and Qualifications:
- Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
- Experience: 3-8 years of experience in data engineering or related roles.
- Proven expertise in designing and building large-scale data pipelines and architectures.
- Technical Skills: Proficiency in programming languages like Python, Java, or Scala.
- Advanced SQL skills for complex queries and performance tuning.
- Hands-on experience with cloud platforms (AWS, Azure, GCP).
- Knowledge of containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes, Airflow).
- Soft Skills: Strong problem-solving abilities and attention to detail.
- Excellent communication and collaboration skills.
Benefits:
- Certification in cloud platforms like AWS Certified Data Analytics – Specialty, Google Professional Data Engineer, or Azure Data Engineer Associate.
- Experience with streaming data pipelines and real-time processing.
- Familiarity with machine learning workflows and tools.
- Knowledge of data governance and compliance standards.
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