If you’ve been searching for work-from-home jobs that align with your expertise in data engineering, here’s an exciting opportunity! Infosys is hiring a Data Engineer who will be pivotal in advancing analytics and visualization tools across the commercial enterprise. This role is open to all graduates, providing a fantastic chance to work with one of the world’s leading IT consulting firms.
As a Data Engineer at Infosys, you’ll be part of a team that leverages advanced analytics, statistical models, and AI technologies to solve complex business problems. You’ll extract insights from large data sets, create data science models, and collaborate with stakeholders to develop strategic solutions.
This remote job is ideal for professionals with a strong technical foundation who are passionate about using data to drive business decisions.
This position is a fantastic option for graduates seeking work-from-home jobs with a leading company like Infosys. Working remotely allows you to collaborate with global teams, balance your work-life priorities, and access opportunities for growth and innovation—all from the comfort of your home.
Infosys is Hiring a Data Engineer – Work From Home Jobs Opportunity for Graduates
ey Responsibilities
- Lead complex data science and analytics projects to support the commercial organization.
- Design and develop data models, algorithms, and visualizations using Python, SQL, Tableau, and PowerBI tools.
- Collaborate with business partners to understand pain points and develop tailored technical solutions.
- Identify areas for improvement in existing data capabilities and propose innovative solutions.
- Mentor team members, offering technical guidance and expertise in analytics and machine learning.
- Develop standards and best practices for analytics, AI, and machine learning processes.
- Contribute to Infosys’ consulting projects by providing high-quality, value-driven solutions.
Required Skills
To excel in this work-from-home job, candidates must demonstrate:
- Expertise in Python, SQL, and other scripting/querying languages.
- Experience with machine learning (supervised and unsupervised), deep learning, and statistical modeling.
- Proficiency in tools such as TensorFlow, PyTorch, Tableau, and PowerBI.
- Knowledge of cloud platforms like Snowflake and Databricks.
- Strong analytical and problem-solving skills with an aptitude for data visualization.
- Excellent communication skills and the ability to lead technical discussions.
Preferred Skills
While not mandatory, these additional qualifications will set you apart:
- Knowledge of financial processes and project pricing models.
- Familiarity with agile methodologies and SDLC processes.
- Industry-specific expertise and a strong understanding of emerging technologies.
