AI 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.

Apply now or refer a friend! For more details, contact us at [email protected]

Job Type: Full-time

Pay: ₹9,172.12 - ₹12,000.00 per month

Experience:

• marathi content: 1 year (Preferred)

Work Location: In person