About Us:
Artic Consulting is a dynamic IT and consulting services firm, delivering digital transformation through creative solutions in data, cloud, and business analytics. We are seeking a skilled Data Engineer with a strong focus on the Microsoft Fabric ecosystem and Application Database management, who can design and implement scalable data solutions for our clients.
Key Responsibilities:
- Hands-on experience building and maintaining OLTP databases, including relational data modeling, schema design, normalization, SQL query development, indexing, transaction handling, performance troubleshooting, and data integrity controls
- Design, develop, and maintain Power BI reports, dashboards, DAX expressions, KPIs, and scorecards using both Import and DirectQuery modes.
- Build and orchestrate scalable ETL/ELT workflows using Fabric Data Pipelines, Dataflows Gen2, and Azure Data Factory.
- Write and tune complex T-SQL and KQL queries, stored procedures, and views for performance in Synapse SQL and SQL Server environments.




- Implement data models based on star/snowflake schemas and support up-to-date data warehousing and Lakehouse architectures using Microsoft Fabric.
- Manage and optimize Azure SQL application databases, including schema design, indexing strategies, stored procedures, query optimization, data integrity, security, monitoring, backup/recovery awareness, and operational reliability for client-facing business applications.
- Partner with application, analytics, and client teams to ensure Azure SQL transactional databases are performant, secure, well-structured, and ready for integration with reporting, data warehousing, Microsoft Fabric, and AI/ML workloads.
- integrate structured and unstructured data sources (e.g., SQL, Excel, APIs, Blob Storage), and transform them efficiently using Fabric Notebooks (Spark/PySpark) or Dataflows.
- Diagnose and resolve pipeline failures, logic errors, and performance bottlenecks across the data engineering lifecycle.
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📌 Sr. Data Engineer (Ahmedabad)
🏢 Artic Consulting
📍 Ahmedabad