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Chief Data Pipeline Architect
3 weeks ago
- Designing and developing scalable batch and streaming pipelines using modern tools like AWS, Databricks etc.
- Implementing reliable data processing, transformation, and storage with a focus on performance, security, and governance.
- Collaborating with data scientists, engineers, and domain experts to ensure the platform supports advanced analytics and AI-readiness.
- Optimizing pipelines for resilience, observability, and cost-effectiveness using monitoring and automation tools.
- Strong hands-on experience with AWS cloud services particularly for data engineering.
- Proficiency in Python or Scala with practical knowledge of Spark and distributed data processing.
- Experience building and maintaining scalable data pipelines (batch and real-time).
- Solid knowledge of SQL, data modelling, and transformation techniques.
- Familiarity with data security, governance, and compliance best practices.
- Strong problem-solving analytical and communication skills.
- Experience with AWS Databricks Delta Lake and medallion architecture.
- Exposure to AI/Gen AI concepts or intelligent agent-based architectures.
- Familiarity with aviation data standards or willingness to learn.
- AWS Certifications in Data Analytics Big Data or Machine Learning.
- Experience with real-time data processing and high-volume systems.
