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.
- Solid 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
📌 AI Engineer (Nagpur)
🏢 IT Craft Technologies
📍 Nagpur