Infosys is looking to hire Lead Data Engineer with AI and ML OPS. Customer is a major telecommunications firm providing connectivity services to millions of
customers. As part of the Network Analytics team the Sr Data Engineer role is crucial in
executing advanced analytic techniques to enhance security and operational efficiency
of customer enterprise networks. This position focuses on constructing robust ETL pipelines using Spark to ensure data availability and quality for analytics tasks. The role requires expertise in data engineering leveraging AWS for scalable solutions and enhancing operational efficiency. The role also requires expertise in statistical analysis and machine learning utilizing generative AI to build data-driven automated systems that enhance operational efficiency.
REQUIRED QUALIFICATIONS:
Bachelors 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.
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
- Candidate must be located within commuting distance ofDenver CO or be willing to relocate to the area.
- At least 4 years of experience with Information Technology.
Expertise in data engineering languages such as Scala (preferred) or Java with proficiency in Python
Experience with BigData tools particularly Spark
Proficiency in building and managing ETL pipelines
Expert-level quantitative analysis skills including interpretation of model results consideration of causality treatment of multicollinearity
Along with competitive pay as a full-time Infosys employee you are also eligible for the following benefits :-- Medical/Dental/Vision/Life Insurance
- Long-term/Short-term Disability
- Health and Dependent Care Reimbursement Accounts
- Insurance (Accident Critical Illness Hospital Indemnity Legal)
- 401(k) plan and contributions dependent on salary level
- Paid holidays plus Paid Time Off
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone email or face to face. Travel may be required as per the job requirements.
About UsInfosys 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.
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy childbirth or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.Required Experience:
IC
Infosys is looking to hire Lead Data Engineer with AI and ML OPS. Customer is a major telecommunications firm providing connectivity services to millions ofcustomers. As part of the Network Analytics team the Sr Data Engineer role is crucial inexecuting advanced analytic techniques to enhance securi...
Infosys is looking to hire Lead Data Engineer with AI and ML OPS. Customer is a major telecommunications firm providing connectivity services to millions of
customers. As part of the Network Analytics team the Sr Data Engineer role is crucial in
executing advanced analytic techniques to enhance security and operational efficiency
of customer enterprise networks. This position focuses on constructing robust ETL pipelines using Spark to ensure data availability and quality for analytics tasks. The role requires expertise in data engineering leveraging AWS for scalable solutions and enhancing operational efficiency. The role also requires expertise in statistical analysis and machine learning utilizing generative AI to build data-driven automated systems that enhance operational efficiency.
REQUIRED QUALIFICATIONS:
Bachelors 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.
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
- Candidate must be located within commuting distance ofDenver CO or be willing to relocate to the area.
- At least 4 years of experience with Information Technology.
Expertise in data engineering languages such as Scala (preferred) or Java with proficiency in Python
Experience with BigData tools particularly Spark
Proficiency in building and managing ETL pipelines
Expert-level quantitative analysis skills including interpretation of model results consideration of causality treatment of multicollinearity
Along with competitive pay as a full-time Infosys employee you are also eligible for the following benefits :-- Medical/Dental/Vision/Life Insurance
- Long-term/Short-term Disability
- Health and Dependent Care Reimbursement Accounts
- Insurance (Accident Critical Illness Hospital Indemnity Legal)
- 401(k) plan and contributions dependent on salary level
- Paid holidays plus Paid Time Off
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone email or face to face. Travel may be required as per the job requirements.
About UsInfosys 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.
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy childbirth or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.Required Experience:
IC
View more
View less