Azure Databricks engineer

3 weeks ago


Toronto, Canada Cognizant Full time

Job Title - Azure Databricks Engineer/Developer Overview We are seeking a Sr. Developer with 8 to 12 years of experience, specializing in Databricks, PySpark, and Azure Data. The ideal candidate will work in a hybrid model, focusing on developing and optimizing data solutions. Experience in Life and Annuities Insurance is a plus. This role involves no travel and operates during day shifts, contributing to impactful projects that drive our company’s success. In this role, you will Develop and implement scalable data solutions using Databricks and PySpark to enhance data processing capabilities. Collaborate with cross-functional teams to design and optimize data architectures on Azure Data platforms. Provide technical expertise in data integration and transformation processes to ensure seamless data flow. Analyze complex data sets to identify trends and insights that support business objectives. Ensure data quality and integrity through rigorous testing and validation procedures. Optimize performance of data pipelines to improve efficiency and reduce processing time. Document technical specifications and maintain comprehensive records of data processes. Troubleshoot and resolve data-related issues to minimize disruptions in data operations. Stay updated with the latest advancements in data technologies to drive innovation. Contribute to the development of best practices for data management and governance. Collaborate with stakeholders to understand data requirements and deliver solutions that meet business needs. Mentor junior developers to foster a culture of continuous learning and improvement. Participate in code reviews to ensure adherence to coding standards and best practices. Working arrangements We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2-3 days a week in a client or Cognizant office in Toronto, ON. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered Possess extensive experience in Databricks PySpark and Azure Data demonstrating a strong technical foundation. Have a solid understanding of data integration and transformation processes ensuring efficient data flow. Experience in Life and Annuities Insurance is advantageous providing domain-specific insights. Demonstrate strong problem-solving skills with the ability to troubleshoot and resolve complex data issues. Exhibit excellent communication skills enabling effective collaboration with cross-functional teams. Show a commitment to continuous learning staying updated with the latest data technologies. Display a proactive approach to optimizing data solutions contributing to overall business success. We\'re excited to meet people who share our mission and can make an impact in a variety of ways. Don\'t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. #J-18808-Ljbffr



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