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Colan Infotech - Azure Data Engineer - PySpark/Python Job Opening In Chennai – Now Hiring Colan Infotech Pvt Ltd


Job description

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

Required Skill Profession

Computer Occupations


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Unlock Your Colan Infotech Potential: Insight & Career Growth Guide


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