Responsibilities
- Lead the implementation of AI and LLM‑based tooling to automate data engineering workflows (e.g., code generation, data quality monitoring, schema drift detection).
- Build automated frameworks for data ingestion, transformation, orchestration, and deployment using AI‑powered accelerators.
- Integrate AI/ML capabilities into pipelines, including anomaly detection, metadata enrichment, and pattern recognition.
- Develop automated data validation frameworks and implement AI‑assisted data quality checks.
- Take technical ownership of all stages and iterations of assigned software components.
- Design technology solutions meet all functional and non‑functional our requirements.
- Provide ongoing production support by overseeing critical data pipelines, resolving incidents, ensuring system stability, and driving root‑cause analysis for continuous improvement.
- Produce clear documentation of designs, architectural decisions, and code artifacts; participate in knowledge sharing.
- Provide regular updates and communications to project partners.
- Ensure solution adoption through training, documentation, and readiness planning.
- Work across multiple projects and departments, supporting engineering tasks and cross‑functional programs.
- Apply industry best practices, engineering standards, and governance principles.
- Be a important contributor to deliver high‑value, on‑time, on‑budget complex projects.
Requirements
- Experienced Senior Data Engineer
- Expertise in AI‑powered tools, workflow automation, and modern data platform engineering
- Ability to develop data software applications, data platforms, and data products
- Partnership with application engineers, data engineers, data scientists, and CRM teams to develop scalable solutions
- Contribution both independently and collaboratively
- Defining engineering standards
- Performing data analysis and modeling
- Writing high‑quality code
- Conducting testing and code reviews
- Preparing deployments
- Ensuring operational readiness
- Supporting Agile development practices
- Keep Security first in mind
