Status Neo - Data Engineer - Artificial Intelligence

About the Role

We are seeking a skilled and results-driven Data Engineer who can combine technical expertise with strong business understanding. This role demands hands-on experience with modern Azure data stack tools, agile delivery practices, and the ability to solve real-world data challenges at scale. You will play a key role in building and optimizing scalable data pipelines, data lakes, and data transformation workflows that power business insights and AI-driven solutions.

Key Responsibilities :

• Design, develop, and maintain scalable data pipelines using Azure Data Factory and Azure Databricks.
• Manage and optimize storage solutions using Azure Data Lake Storage (Gen2) and Delta Lake.
• Write efficient and reusable code in SQL for data extraction, transformation, and loading (ETL / ELT).
• Integrate and automate workflows across data ingestion, cleansing, validation, and transformation processes.
• Work closely with data analysts, architects, and business teams to gather data requirements and deliver solutions.
• Ensure data governance, quality, and security standards are met across data platforms.
• Participate in code reviews, performance tuning, and continuous improvement of data engineering practices.
• Stay updated with emerging trends in cloud data engineering, analytics, and AI / ML integrations.

Required Skills & Experience :

Proven expertise in the Azure data ecosystem, including :

Good to Have :

(ref : hirist.tech)