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Urgent! Data Engineer - SQL/Azure/Synapse Analytics Job Opening In Pune – Now Hiring Growel Softech Pvt. Ltd.

Data Engineer SQL/Azure/Synapse Analytics



Job description

<p><p><b>Contractors Role : </b></p><p><p><b><br/></b></p>We are seeking a skilled Data Engineer to design, develop, and maintain data pipelines that automate the flow of data from On-prem SQL DB into Azure Synapse, enabling robust reporting and analytics within Power BI.</p><p><br/>This role will be crucial in building and optimizing our data infrastructure, ensuring data accuracy, and improving the efficiency of our data processes.<br/><br/><b>Experience Level : </b> 5-9 yrs of exp<br/><br/><b>Qualifications : </b> Bachelor's Degree in information technology, computer science, or a related field</p><p><br/><b>Must have skills ( Must have skills in all the below skills 3 to 5 relevant exp is must) :</b></p><p><br/>- Migration : Work on migrating existing ETL processes and objects into Azure synapse which requires building complex optimized stored procedures , functions.<br/><br/></p><p>- Develop and maintain data pipelines : Design, implement, and maintain automated data pipelines from On-prem to Azure Synapse using Azure Data Factory<br/><br/></p><p>- Performance Optimization : Optimize data pipeline performance by identifying and addressing bottlenecks, improving query efficiency, and implementing best practices for data storage and retrieval in Azure Synapse.<br/><br/></p><p>- PL/SQL , database architecture, performance tuning of existing procedures and processes.<br/><br/></p><p>- Help automate day to day processes by use of python programming , aware of pandas , numpy libraries<br/><br/><b>Tasks & responsibilities</b> :</p><p> </p><p>We are seeking a skilled Data Engineer to design, develop, and maintain data pipelines that automate the flow of data from On-prem SQL DB into Azure Synapse, enabling robust reporting and analytics within Power BI.<br/><br/></p><p>This role will be crucial in building and optimizing our data infrastructure, ensuring data accuracy, and improving the efficiency of our data processes</p><br/></p> (ref:hirist.tech)


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