Artificial Intelligence Engineer

Company Description ITCRAFT TECHNOLOGIES PRIVATE LIMITED helps enterprises turn large volumes of information into meaningful insight for better decision-making. The company delivers website design, software development, and internet solutions with a strong focus on modern graphics, intuitive layouts, and interactive functionality. On the back end, ITCRAFT leverages up-to-date database technologies to ensure performance, reliability, and scalability. The organization is committed to creating smooth, memorable digital experiences that clients value and recommend.

Role Description * 3-5 + years of experience in Data Engineering / Data Platform Engineering.

• Strong hands-on experience with *Microsoft Fabric, **Azure Databricks*, and modern Lakehouse architectures.
• Expertise in designing scalable *ELT/ETL pipelines* for large-scale data platforms.
• Strong proficiency in *Python, **PySpark, **SQL, and **dbt*.
• Experience with *Azure Data Lake Storage (ADLS), **Delta Lake*, and cloud data warehouses.
• Strong understanding of *Medallion Architecture (Bronze, Silver, Gold)*.
• Experience with *Microsoft Fabric Data Factory, **Azure Data Factory*, or similar orchestration tools.
• Strong knowledge of data modeling (Star Schema, Dimensional Modeling, SCDs).
• Experience with API integration and exposing curated datasets for downstream applications.
• Experience implementing data quality checks, logging, monitoring, and pipeline observability.
• Proficiency with Git, CI/CD, and modern software engineering best practices.
• Experience working with large-scale telemetry, IoT, SCADA, manufacturing, or industrial data is preferred.
• Excellent architecture, problem-solving, and mentoring skills.

Qualifications

• Design and own the architecture of a scalable cloud-based data platform for multi-plant Solar SCADA analytics.
• Build scalable ingestion frameworks for telemetry and operational data from multiple plants.
• Design and implement Lakehouse and Data Warehouse solutions using Microsoft Fabric and/or Azure Databricks.
• Develop robust ELT pipelines using PySpark, dbt, and SQL.
• Design reusable, metadata-driven data pipelines and transformation frameworks.
• Optimize data processing, storage, and query performance for large datasets.
• Establish engineering standards, coding practices, documentation, and deployment processes.
• Implement data quality, monitoring, logging, and alerting across the platform.
• Collaborate with application teams to provide secure, analytics-ready datasets and APIs.
• Evaluate and implement modern data platform capabilities, including AI-ready architectures where applicable.
• Mentor junior engineers through architecture guidance, code reviews, and technical leadership.