Job Description

We are Cognizant Artificial Intelligence Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. However, clients need new business models built from analyzing customers and business operations at every angle to really understand them. With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks.   *You must be legally authorized to work in United States/Canada without the need of employer sponsorship, now or at any time in the future *   Job Title:  Azure Data Engineer Job summary Designing and developing data pipelines using Cloud Technologies based on business requirements and technical design. Collaborating with Stakeholders, Business Analysts and Data Architects to assist and translate business requirements to technical solutions Develop data and analytic solutions, leveraging new or existing technology to advance Manulife all lines of business. Exploratory data analysis by querying and processing data stores, databases, and generate reports. Experience six to10 yrs. Required Technical Skills- Microsoft ADFS Domain Skills- Nice to have Technical Skills- Python, Data bricks, Azure Data Factory Domain Skills- Technology Microsoft Data Management.   Roles & Responsibilities. At least 4 years of professional experience working as Data Engineer with focus on big data processing and/or relational databases. Experienced with working on Structured and Semi-Structured datasets. Experience working with Microsoft Azure Data Platform, specifically Azure SQL Database, Azure Data Factory, ADLS storage account. Experienced in creating data pipelines & developing complex and optimized queries Experience with implementing CI / CD pipeline on GitHub, Jenkins / JGP. Experienced in any of the following programming/scripting languages (SQL, Python, pyspark) Knowledgeable in any of the following tools: Tableau, Power BI, QlikView/QlikSense? Knowledgeable in using collaboration tools (eg. MS Teams/Skype, Confluence, JIRA) Ability to own and execute an initiative end to end. Experience with any SLDC Methodologies and familiarity with different agile methodologies Demonstrates a commitment to delivering excellent service, balanced with appropriate risk management. Monitor, validate, drive continuous improvement to methods, and propose enhancements to data sources that improve usability and results Good Communication and presentation skills Analytical, structured, organized, and proactive Nice to have previous work experience in the financial sector (insurance or benefits industry).     Salary and Other Compensation: The annual salary for this position is depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.   Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: - Medical/Dental/Vision/Life Insurance - Paid holidays plus Paid Time Off - 401(k) plan and contributions - Long-term/Short-term Disability - Paid Parental Leave - Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. #LI-AR1 #Ind123