Job Description
Responsibilities
* Lead the design and implementation of end to end data engineering pipelines supporting AI and analytics use cases.
* Develop and optimize Python based data processing frameworks for ingestion, transformation, and enrichment. Architect scalable data solutions for structured and unstructured data.
* Enable AI/ML initiatives by ensuring high quality, reliable, and well governed data pipelines. Collaborate with data scientists to support model training, validation, and deployment workflows.
* Define standards and best practices for data engineering, coding, testing, and performance optimization.
* Ensure data solutions meet scalability, reliability, and performance requirements.
* Guide and mentor engineers, providing technical direction and design reviews.
* Work with stakeholders to translate business requirements into technical data solutions.
* Drive continuous improvement in data platform maturity and delivery efficiency.
Required Skills And Experience
* Strong proficiency in Python for data engineering and automation. Solid experience in data pipeline development, transformation, and orchestration. Experience working with large scale data platforms and datasets.
* Understanding of AI/ML data lifecycle and dependencies. Experience designing solutions for high availability and performance critical systems.
* Strong problem solving and technical leadership skills.
Preferred Qualifications
* Experience supporting AI/ML platforms and analytics ecosystems.
* Exposure to cloud based data services and modern data architectures. Familiarity with DevOps or automation practices for data platforms.
* Experience working in Agile delivery environments.
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