Equifax
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Pune · Hybrid · 3-6 Yrs · 19 hours ago
Business consulting · 10000+ Employees · Atlanta, US
Headquartered in Atlanta, Ga., Equifax operates or has investments in 24 countries in North America, Central and South America, Europe and the Asia Pacific region. It is a member of Standard & Poor's (S&P) 500® Index, and its common stock is traded on the New York Stock Exchange (NYSE) under the symbol EFX. For more information, please visit www.equifax.com.
Hiring: Engineering
What employees say
+ Positive team dynamics and work environment, but project demands and schedules are inconsistent across accounts.
− While the company has a great work environment and a strong team culture, work-life balance varies significantly depending on the project. Additionally, recent layoffs have impacte
More reviews on the company profile.
Interview experience · Graduate Student
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Easy difficulty · Mumbai · 57 reports
More interview insightsJob description
Overview
You will build and maintain data pipelines on cloud platforms, ensuring data quality and security for analytical solutions.
Responsibilities
- Design and implement cloud-native data pipelines to ingest, cleanse, and structure data from multiple sources.
- Develop data quality rules, monitoring processes, and automated checks to troubleshoot anomalies.
- Implement security best practices across pipelines and infrastructure.
- Write unit tests, deploy code, and produce technical documentation for application development activities.
- Mentor junior engineers and review their dataset implementations.
Qualifications
- 3+ years of experience as a data engineer or in a related role.
- Advanced proficiency in SQL and scripting languages.
- Experience with programming languages such as Python or Java.
- 3+ years of experience with cloud technologies (GCP, AWS, or Azure).
- Hands-on experience building and maintaining moderately-complex data pipelines.
- Strong Git usage and CI/CD integration skills.
- Ability to work with tools like Spotfire, Looker, or Tableau.
- BS degree in a STEM major or equivalent; Master’s preferred.
- Experience with distributed data processing tools like Apache Spark or Apache Beam.
- Knowledge of GCP services including Dataflow, Dataproc, BigQuery, and Pub/Sub.
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Job application FAQ
Last updated 10 October 2026
- How do I apply for Data Engineer Intermediate at Equifax?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Equifax may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer Intermediate role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer Intermediate remote or on-site in Pune, Maharashtra?
- This listing is marked hybrid with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Data Engineer Intermediate role at Equifax?
- This is a mid-level Data Engineer Intermediate role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.