Data Engineer

6 days ago


Gurugram, India Consultancy Full time

Key Responsibilities :

- Design, develop, and maintain scalable data pipelines to support Generative AI applications.

- Work with large datasets and ensure efficient data extraction, transformation, and loading (ETL) to enable AI model training and inference.

- Collaborate with data scientists and AI engineers to prepare high-quality data for Generative AI models (e.g., GANs, transformers).

- Develop and optimize Python scripts and tools to automate data processing and support machine learning workflows.

- Utilize Azure services (e.g., Azure Data Lake, Azure SQL Database, Azure Databricks) to build cloud-based data infrastructure.

- Implement best practices for data governance, data quality, and data security in line with company policies.

- Perform data wrangling and cleaning tasks to ensure high-quality datasets for AI applications.

- Monitor and troubleshoot data pipelines and workflows to ensure they run efficiently and reliably.

- Leverage Azure Machine Learning, Azure Synapse Analytics, and other Azure tools for data engineering tasks and integration with AI workflows.

- Stay updated on the latest advancements in Generative AI and data engineering practices.

- Document processes, workflows, and data models to ensure scalability and maintainability.

Preferred Skills :

- Certifications in Azure (e.g., Azure Data Engineer, Azure AI Engineer) or relevant data engineering platforms.

- Experience in deploying Generative AI models to production environments.

- Familiarity with big data technologies (e.g., Apache Kafka, Apache Flink).

- Knowledge of DevOps practices for machine learning and AI model deployment.

- Experience with version control tools like Git.

(ref:hirist.tech)

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