Dofactory.com
Dofactory.com

Senior Azure Data Engineer

Company
Infosys
Location
Raleigh, NC
Job Type
Fulltime
Level
Senior level
Skills

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:

  • 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.

  • At least 4 years of experience in Information Technology.

  • Candidate must live within commuting distance of Raleigh, NC or be willing to relocate. Travel within the US may be required.

  • U.S. citizens and those authorized to work in the U.S. are encouraged to apply.

  • 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

  • Experience designing and implementing data pipelines using Azure Databricks for data cleaning, transformation, and loading into Azure Synapse Analytics

  • Knowledge of implementation and deployment of analytics solutions at client architecture

  • Experience performing Data Wrangling and Exploratory Data Analysis on required data and metrics

  • Develop, Test, Deploy and Monitor ML Models

  • Ability to suggest Analytics algorithms to use based on business situation mindful of fundamental assumptions in the algorithms.

  • Experience working with other data scientists as a team to understand algorithms suggested and provide QA in algorithm choice from a business perspective.

Preferred Qualifications:

  • Demonstrated experience in Data Engineering / Data science / Analytics

  • AWS is good to know.

  • Proven and proficient programming skills in Object oriented programming in Python.

  • Strong experience in Python data wrangling/analysis using Pandas, Numpy, Matplotlib, seaborn etc.

  • Good understanding of version control tools like git Experience building CI/ CD pipelines.

  • Model deployment experience

  • Excellent business communication and excellent relationship management ability and the ability to work across business units within complex organization


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

 
Ref #
2769468
Posted
30+ days ago
  •  
Last updated 30+ days ago


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