
Colan Infotech
23 hours ago
Position : Azure Data Engineer
Experience : 3-5 Years
Job Type : Full-time
Job Summary :
We are seeking a skilled Azure Data Engineer with 3-5 years of experience to design, develop, and maintain scalable data pipelines within the Microsoft Azure ecosystem.
The ideal candidate will have strong expertise in Azure Data Factory, Azure Databricks, PySpark/Scala Spark, and Python.
This role is critical for building efficient ETL processes, optimizing data workflows, and ensuring high-quality, reusable code to support business analytics and reporting needs.
Key Responsibilities :
Data Pipeline Development :
- Design, develop, and maintain robust and scalable data pipelines, primarily utilizing PySpark / Scala Spark, Python, Azure Databricks, and Azure Data Factory.
Code Quality & Optimization :
- Demonstrate strong programming skills by writing optimized, reusable, and high-quality code.
- Optimize SQL queries for efficient data extraction and manipulation across various data sources.
Azure Platform Expertise :
- Apply expertise in Azure Databricks, including effective workflow management, collaborative data exploration, and leveraging the Delta Lakehouse architecture.
ETL/ELT Best Practices :
- Implement and enforce best practices for data pipeline optimization, ETL (Extract, Transform, Load) processes, and query performance tuning.
Data Storage & Services :
- Utilize and manage core Azure data services, including Azure SQL Database, Azure Blob Storage, Azure Synapse Analytics, and Azure Data Lake Storage.
Collaboration & Documentation :
- Collaborate effectively with cross-functional teams to accurately understand and translate business requirements into technical solutions.
- Create and maintain comprehensive documentation for all data pipelines and workflows.
Maintenance & Troubleshooting :
- Proactively troubleshoot and resolve critical issues in data pipelines, ensuring minimal downtime and high data reliability.
Qualifications :
Experience : 3-5 years of professional experience as a Data Engineer, with a focus on Azure Cloud.
Mandatory Technical Stack : Strong proficiency in PySpark / Scala Spark, Python, Azure Databricks, and Azure Data Factory.
Data Management : Experience with Azure data storage solutions, specifically Azure Blob Storage and Data Lake Storage.
Query Optimization : Expertise in writing and optimizing complex SQL queries for performance tuning.
Process : Solid understanding of ETL/ELT methodologies and best practices for building production-grade data solutions.
Preferred Skills :
- Experience with Azure Synapse Analytics and relevant Azure Data Engineer certifications
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