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Job Description & How to Apply Below
Job role:
Hybrid
Location:
Kathmandu, Nepal
We are seeking a Senior Data Engineer to architect our Azure-based data ecosystem. You will transform Dynamics 365 and API data into high-performance pipelines for our Power BI and AI teams, bridging traditional data warehousing with modern Data Lakehouse architecture.
Key Responsibilities:
1. Data Architecture & Pipeline Engineering
Design & Build:
Architect robust, scalable, and automated ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Synapse Analytics.
Dynamics 365 Integration:
Lead the extraction and transformation of complex data from Dynamics 365 F&O, Business Central, and CE (Dataverse) using Synapse Link and Power Platform connectors.
Lakehouse Implementation:
Implement a Medallion Architecture (Bronze/Silver/Gold) using Azure Data Lake Storage (ADLS Gen2) and Delta Lake to ensure data reliability.
Advanced Processing:
Use Azure Synapse Spark or Azure Databricks (PySpark) for complex data transformations, feature engineering, and real-time streaming (Event Hubs/IoT Hub)
2. Analytics & BI Support
Data Modeling:
Design and optimize Star and Snowflake schemas to support high-performance Power BI semantic models
Serving Layer Design:
Deliver curated datasets using Delta Lake and Azure SQL / Synapse SQL to meet enterprise reporting and concurrency requirements
Performance Optimization:
Perform advanced SQL tuning, indexing, and workload optimization to ensure scalability and cost efficiency across Azure analytics services
3. Data Governance & Dev Ops
CI/CD & Data Ops:
Implement and maintain Data Ops practices using Azure Dev Ops, with infrastructure-as-code via Terraform or Bicep
Data Quality & Governance:
Enforce data standards, validation, lineage, and master data management practices
Security & Compliance:
Apply RBAC, managed identities, and access controls to ensure data privacy and regulatory compliance
Skills &
Qualifications:
Core Technical Requirements:
Experience:
5+ years of Data Engineering experience, with 3+ years focused on the Microsoft Azure ecosystem
SQL Expertise:
Advanced T-SQL, including performance tuning, indexing strategies, and complex query optimization.
Python & Spark:
Strong proficiency in Python and PySpark for data transformation and automation
Azure Platform Expertise:
Hands-on experience with:
Azure Data Factory (ADF)
Azure Synapse Analytics (SQL & Spark)
Azure Data Lake Storage Gen2 (ADLS)
Azure SQL Database and Managed Instances
Azure Functions and Logic Apps
Enterprise Data:
Experience working with Dynamics 365 or other large-scale ERP/CRM platforms
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