Lead Azure Data Engineer

At Praval, we believe that technology has the power to transform businesses and enrich lives. As a team, we strive to create innovative software applications, design intuitive user interfaces, develop robust collaborative systems, and explore emerging technologies that push the boundaries of what is possible. Our goal is to deliver outstanding IT solutions that solve complex problems and drive our clients' success in today's digital age.

We believe in recognizing and rewarding exceptional performance, and we offer a competitive compensation package that includes benefits, flexible work arrangements, and a vibrant work-life balance. If you are passionate about technology, thrive in a fast-paced and dynamic environment, and are eager to make a real impact in the IT industry, Praval is the place for you. Come be a part of our journey as we revolutionize the world of technology and shape the future together.

Job Summary

As an Azure Data Engineer, you will be pivotal in designing, implementing, and maintaining our organization's data architecture and infrastructure on the Azure cloud platform. Leveraging your expertise in data engineering and Azure technologies, you will be responsible for developing scalable and efficient data pipelines, ensuring the integrity and availability of our data assets.

Requirements

Must have skills :

• Strong hands-on experience in SQL, PL/SQL
• Strong hands-on experience in Azure Data Factory/Synapse Pipelines
• Strong hands-on experience in Data Warehousing
• Good understanding of Microsoft Dataverse
• Good knowledge of Azure DevOps (CI/CD pipelines)
• Good understanding of Azure data warehouse / Synapse dedicated/serverless pools
• Expert in presentation and skilled at managing multiple clients
  
  

Good To Have Skills

• Experience/Exposure in Power BI/Azure Data Lake
• Good at Python/ Spark / Shell Scripting
• Experience in MSBI
• Excellent mentoring skills with team player attitude
• Blogging, delivering webinars / tech talk, active participation in tech conferences & meetups
  
  

Required experience : -

• 3-5 years of implementation experience with deep understanding in both traditional and modern data architecture and processing concepts, including relational databases (e.g., SQL Server, MySQL, Oracle)
• Minimum 2 years experience with Azure cloud computing, Azure SQL DB/DW, HD Insight, Azure Data Lake Storage, Azure Data Lake Analytics, Stream Analytics, and Azure Data Factory.
• Demonstrable hands-on experience implementing data solutions using Microsoft Data Platform and Azure Data Services
• Passionate Data & Analytics practitioner