Equifax is hiring Data Engineers for its technology teams in Pune and Trivandrum. This opportunity is ideal for candidates who want to build careers in data engineering, analytics infrastructure, and cloud-based data systems.
The role offers an excellent learning environment where engineers work closely with senior team members to integrate, clean, and structure large volumes of data used in enterprise solutions. If you have strong fundamentals in Python, SQL, data pipelines, and cloud computing, this role can be a strong starting point for your career in data engineering.
Equifax is known for using advanced analytics and data-driven technologies to help businesses, governments, and financial institutions make critical decisions.
About the Company
Equifax is a global data, analytics, and technology company that plays an important role in the modern financial ecosystem. The company provides credit reporting, risk analysis, identity verification, and analytics solutions to organizations worldwide.
With operations across multiple countries, Equifax helps employers, lenders, and government agencies make confident decisions by providing reliable and structured data insights. The company invests heavily in data platforms, cloud infrastructure, and AI-powered analytics solutions to improve decision-making processes.
Working at Equifax gives engineers exposure to large-scale data systems and global enterprise technology environments.
Role Overview
The Data Engineer role focuses on building and maintaining data pipelines that support analytics and enterprise solutions. Engineers in this role work with structured and unstructured datasets, ensuring the data is clean, organized, and ready for use by downstream applications and clients.
The role also involves learning regulatory requirements, maintaining data documentation, performing data quality checks, and supporting internal stakeholders with data-related queries.
Candidates will work under the guidance of senior engineers and gradually gain experience in data modeling, cloud technologies, and analytics systems.
Key Responsibilities
- Integrate, consolidate, and clean data from multiple internal and external sources.
- Structure data so it can be used effectively by enterprise solutions and analytics platforms.
- Support investigations related to stakeholder queries with guidance from senior team members.
- Identify issues in data pipelines, analyze root causes, and escalate technical problems when necessary.
- Maintain knowledge of regulatory standards related to data reporting and compliance requirements.
- Enter and maintain documentation in internal repositories.
- Follow established security and compliance protocols.
- Perform data quality checks to ensure data accuracy and reliability.
- Maintain simple data pipelines and ensure data is transformed and stored correctly.
These responsibilities help ensure that the organization’s data infrastructure remains accurate, secure, and reliable.
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Required Skills
Candidates applying for this role should demonstrate foundational knowledge in data engineering and programming.
Important technical skills include:
- Programming languages such as Python or SQL
- Basic understanding of cloud computing concepts
- Knowledge of data pipelines and data transformation processes
- Familiarity with Git version control systems
- Basic data modeling concepts
In addition to technical skills, candidates should demonstrate analytical thinking, strong documentation habits, and the ability to collaborate with teams.
Preferred Skills
Although not mandatory, the following skills can strengthen your application:
- Cloud certifications such as Google Cloud Platform (GCP)
- Knowledge of Linux systems
- Experience with AI or Machine Learning engineering
- Understanding of cloud security and compliance standards
These additional skills can help candidates contribute more effectively to modern data platforms and cloud-based infrastructure.
Who Can Apply (Eligibility Criteria)
| Criteria | Details |
|---|---|
| Role | Data Engineer |
| Company | Equifax |
| Experience | 0–2 years |
| Location | Pune / Trivandrum |
| Qualification | Bachelor’s degree in a STEM field |
| Skills | Python, SQL, Cloud Computing |
Candidates with degrees in Computer Science, Information Technology, Data Science, or other STEM fields are encouraged to apply.
Salary
The Equifax Data Engineer role offers a competitive salary estimated at:
💰 ₹6,00,000 – ₹11,00,000 per year (Estimated Range)
Actual compensation may vary based on candidate skills, certifications, and experience level. Equifax also provides attractive benefits such as healthcare coverage, paid time off, and professional development programs.
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Benefits of Working at Equifax
Equifax offers employees a supportive work environment and long-term career opportunities.
Employees receive benefits such as:
- Hybrid work model with flexible work arrangements
- Comprehensive healthcare packages
- Attractive paid time off policies
- Access to an online learning platform with guided career tracks
- Opportunities to grow within a global technology organization
These benefits allow employees to build strong careers while continuously improving their technical skills.
Skills That Will Help You Succeed
Successful candidates in this role usually demonstrate:
- Strong analytical and problem-solving abilities
- Curiosity to understand how data systems work internally
- Ability to learn quickly and adapt to new technologies
- Strong documentation and communication skills
- Attention to detail when handling large datasets
These qualities help engineers succeed in data-driven organizations.
Career Growth Opportunities
Joining Equifax as a Data Engineer can open career pathways such as:
- Senior Data Engineer
- Cloud Data Engineer
- Data Platform Engineer
- Machine Learning Engineer
- Data Architect
The company’s internal learning platforms and mentorship programs support employees as they move into advanced technical roles.
How to Apply
Interested candidates can apply by clicking the button below to submit their application. When applying, highlight your experience with Python, SQL, cloud platforms, or data pipeline projects in your resume.
If you have completed internships, academic projects, or certifications related to data engineering or cloud technologies, be sure to mention them to strengthen your application.
Disclaimer
This job information is collected from official and publicly available sources. We do not charge any fees for job applications, do not guarantee recruitment, and do not take responsibility for any loss arising from reliance on this information.
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