OVERVIEW :
ARTIC CONSULTING IS A DYNAMIC IT AND CONSULTING SERVICES FIRM, DELIVERING
DIGITAL TRANSFORMATION THROUGH INNOVATIVE SOLUTIONS IN DATA, CLOUD, AND BUSINESS
ANALYTICS. WE ARE SEEKING A SKILLED DATA ENGINEER 7+YEARS WITH A STRONG FOCUS
ON THE MICROSOFT FABRIC ECOSYSTEM, WHO CAN DESIGN AND IMPLEMENT SCALABLE DATA
SOLUTIONS FOR OUR CLIENTS.

KEY RESPONSIBILITIES:

* Design, develop, and maintain Power BI reports, dashboards, DAX expressions,
KPIs, and scorecards using both Import and Direct Query 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 modern data
warehousing and Lakehouse architectures using Microsoft Fabric.
* 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.
* Automate repetitive data processes using Azure Functions, Logic Apps,
PowerShell, or Python scripting within the Fabric ecosystem.
* Collaborate with stakeholders to gather business requirements and translate
them into scalable data solutions.
* Ensure data governance, privacy, and compliance standards (e.g., GDPR, HIPAA,
ISO) are adhered to, including sensitive data handling policies.
* Apply best practices for item-level security, workspace-based access models,
and data lineage using Microsoft One Lake and Fabric tools.

Required Qualifications:
* Bachelor's or master's degree in computer science, Information Systems, or
related field.
* Minimum 3 years of experience in Power BI development and data engineering.
* Robust expertise in T-SQL and KQL, with demonstrated que

📌 Sr Azure Data Engineer (India)
🏢 Artic Consulting
📍 India