Job details Country USA State / Region / Province Washington Work Location Bellevue, WA Domain Delivery Interest Group Infosys Limited Skills Technology|Cloud Integration|Azure Data Factory (ADF) Company ITL USA Requisition ID 115657BR Salary min 73222 Salary max 100000 Job description Infosys is seeking an Azure Data Engineer. In this role, you will work directly with the clients to lead critical modules in Data Engineering program which will include metadata management, data catalog, data quality, process/workflow definition implementation, Reporting, Delivery, etc. You will be part of an entrepreneurship and learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Required Qualifications: <ul><li> The project location is Bellevue, WA. Candidate must be located within commuting distance of Bellevue, WA or be willing to relocate to the area. This position may require travel in the US and Canada. </li><li> Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. </li><li> At least 2 years of experience in Information Technology. </li><li> At least 2 year of experience in designing, implementing, and maintaining robust and scalable data pipelines on Azure using services such as Azure Data Factory, Azure SQL Data Warehouse, Azure Analysis Services or any of the Azure Databricks/Synapse/Fabric. </li><li> At least 2 year of experience in data platforms - with multi layered approach, Design/Architecture setup is needed. </li><li> At least 2 year of experience in troubleshooting performance issues, identifying root cause and applying fixes. </li><li> At least 2 years of experience in SQL. </li><li> Ability to implement and manage CI/CD pipelines for data engineering projects, leveraging tools like Azure DevOps. </li><li> U.S. citizens and those authorized to work in the U.S. are encouraged to apply. </li></ul> Preferred Qualifications: <ul><li> Ability to collaborate with data scientists and analysts to facilitate the availability of clean, structured data for analytical purposes. </li><li> Excellent communication and interpersonal skills are required. </li><li> Experience in working in Agile teams and working independently with Business stakeholders providing solutions and regular updates. </li><li> Familiarity with data modeling and ETL tools such as Erwin, Talend, DataStage. </li><li> Proven analytical and problem-solving skills. </li><li> Ability to lead large complex projects with limited direction. </li></ul> About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in 50 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Please visit http://www.infosys.com for more information regarding our company, benefits and life as an Infoscion. Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:- <ul><li> Medical/Dental/Vision/Life Insurance </li><li> Long-term/Short-term Disability </li><li> Health and Dependent Care Reimbursement Accounts </li><li> Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) </li><li> 401(k) plan and contributions dependent on salary level </li><li> Paid holidays plus Paid Time Off </li></ul> Infosys is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

Job Description Infosys is seeking a Data Engineer. This position will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design; play an important role in creating the high level design artifacts; deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition and warranty; be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Required Qualifications: Candidate must be located within commuting distance of Philadelphia, PA or be willing to relocate to the area. This position may require 20% travel in the US. Bachelor's Degree or foreign equivalent, will consider work experience in lieu of a degree. 4+ years of Information Technology experience U.S. Citizenship or Permanent Residency required; we are not able to sponsor at this time. Preferred Qualifications: 4+ years of experience in ETL design, implementation and maintenance 4+ Experience in Database technologies, SQL, MySQL, Elastic search, Big Query, ETLs and framework development. 4+ year of experience with Data Modeling 4+ Experience working on Big Data 4+ Experience with data analysis and visualization, particularly Tableau, Splunk Experience processing large data sets Strong experience with Spark, Hive, Kafka, Apache NiFi, AWS, GCP Designing and implementing real-time pipelines. Experience with data analysis and visualization, particularly Tableau, Splunk Experience processing large data sets Knowledge in python is preferred. Strong experience with Spark, Hive, Kafka, Apache NiFi, AWS, GCP Designing and implementing real-time pipelines. About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. To learn more about Infosys and see our ideas in action please visit us at www.Infosys.com. Infosys is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

Job Description Infosys is seeking an Azure Data Engineer (multiple positions) with strong background in designing and building machine learning models / algorithms to implement predictive & prescriptive analytical solutions in Insurance and Healthcare domains. The ideal candidate will be able to look at data from multiple sources and integrate data/inputs in a manner to build cause effect linkages to arrive at key issues. Ideally the candidate uses understanding of the problem to arrive at multiple solution alternatives keeping in mind the various stakeholders and assess the pros and cons of all the alternatives to arrive at the optimal solution. Required Qualifications: <ul><li>Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.</li><li>At least 4 years of experience in Information Technology.</li><li>Candidate must live within commuting distance of Raleigh, NC or be willing to relocate. Travel within the US may be required.</li><li>U.S. citizens and those authorized to work in the U.S. are encouraged to apply.</li><li>Hands on experience in using Azure Data Factory (ADF) to orchestrate data ingestion from various sources into Azure Data Lake Storage (ADLS) for creating analytical data pipelines</li><li>Experience designing and implementing data pipelines using Azure Databricks for data cleaning, transformation, and loading into Azure Synapse Analytics</li><li>Knowledge of implementation and deployment of analytics solutions at client architecture</li><li>Experience performing Data Wrangling and Exploratory Data Analysis on required data and metrics</li><li>Develop, Test, Deploy and Monitor ML Models</li><li>Ability to suggest Analytics algorithms to use based on business situation mindful of fundamental assumptions in the algorithms.</li><li>Experience working with other data scientists as a team to understand algorithms suggested and provide QA in algorithm choice from a business perspective.</li></ul> Preferred Qualifications: <ul><li>Demonstrated experience in Data Engineering / Data science / Analytics</li><li>AWS is good to know.</li><li>Proven and proficient programming skills in Object oriented programming in Python.</li><li>Strong experience in Python data wrangling/analysis using Pandas, Numpy, Matplotlib, seaborn etc.</li><li>Good understanding of version control tools like git & Experience building CI/ CD pipelines.</li><li>Model deployment experience</li><li>Excellent business communication and excellent relationship management ability and the ability to work across business units within complex organization</li></ul> The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in 50 countries to navigate their digital transformation. With over three decades of experience in leading the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver outstanding levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Infosys is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability. To learn more about Infosys and see our perspectives in action please visit us at www.Infosys.com

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