Data Engineer

allianz

Trivandrum 5 Years Exp Posted 7h ago

Working with peers and senior colleagues on solutions design activity for items allocated to you in the backlog.
Developing, implementing, testing and documenting scalable ETL (Extract, Transform, Load) data pipelines and workflows to efficiently ingest and transform data from various sources.
Working collaboratively with internal customers to deliver high-quality fit for purpose solutions.
Implementing data security measures to ensure compliance with data privacy regulations.
Peer reviewing work of colleagues to ensure delivery of robust solutions and improve your understanding of the code base.
Collaborating with stakeholders and analysts to understand their data requirements.
Staying up-to-date with industry trends and best practices in data engineering to drive continuous improvement and innovation.
Design and support data platforms that enable Generative AI, RAG, vector search, and semantic retrieval solutions.
Develop and optimize data pipelines for embedding generation, document indexing, and AI-ready data products.
Leverage Microsoft Copilot and other AI-assisted engineering tools to improve code quality, automate development tasks, accelerate troubleshooting, and increase delivery velocity.
- Continuously evaluate and adopt modern automation, orchestration, and AI technologies to optimize platform operations and engineering efficiency.