Azure Data Engineer
1 day ago
**Azure Data Engineer job description:
fixed salary location Lahore/ISB (Pakistan) full remote 6 pm to 2 am pakistan time
**Azure Data Engineer**
**About the Role:**
We're seeking an experienced Azure Data Engineer to design, build, and maintain scalable data solutions on the Microsoft Azure platform. You'll work with cross-functional teams to develop robust data pipelines, optimize data workflows, and enable data-driven decision-making across the organization.
**Key Responsibilities:**
Design and implement end-to-end data solutions using Azure services including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Data Lake Storage
Build and maintain ETL/ELT pipelines to ingest data from various sources (on-premises, cloud, streaming) into Azure data platforms
Develop data models and schemas optimized for analytics and reporting using SQL and dimensional modeling techniques
Implement data governance, security, and compliance measures including data encryption, access controls, and auditing
Optimize query performance and data processing workflows for cost-efficiency and speed
Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver solutions
Monitor data pipeline health, troubleshoot issues, and implement automated alerting
Document technical designs, data flows, and operational procedures
**Required Qualifications:**
Bachelor's degree in Computer Science, Information Systems, or related field
3-5 years of experience in data engineering roles
Strong proficiency with Azure data services (ADF, Synapse, Databricks, ADLS, SQL Database)
Advanced SQL skills and experience with data warehousing concepts
Programming experience in Python, Scala, or PySpark
Understanding of data modeling, ETL design patterns, and data integration best practices
Experience with version control systems (Git) and CI/CD pipelines
**Preferred Qualifications:**
Azure certifications (DP-203: Azure Data Engineer Associate or similar)
Experience with streaming data technologies (Event Hubs, Stream Analytics, Kafka)
Knowledge of DevOps practices and Infrastructure as Code (ARM templates, Terraform)
Familiarity with Power BI for data visualization
Experience with medallion architecture (bronze/silver/gold layers)
**Technical Skills:**
Azure Data Factory, Synapse Analytics, Databricks, Data Lake Storage
SQL Server, Azure SQL Database, Cosmos DB
Python/PySpark for data transformation
Delta Lake and Apache Spark
Azure DevOps or GitHub for CI/CD
Monitoring tools (Azure Monitor, Log**
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