Senior Data Engineer

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds,  and make a meaningful impact, we want to hear from you.

Synopsis of the role 

Equifax is seeking a Senior Data Engineer to join our world-class Entity Resolution/Keying & Linking team within India Data & Analytics. The ideal candidate is an analytical engineer who bridges the gap between software development and data science—possessing the programming skills to scrape, merge, and manage diverse data streams, alongside the statistical mindset to extract meaningful insights. You will combine technical execution with creative problem-solving to build reliable data prototypes and uncover patterns within complex data. If you have a solid foundation in mathematics or statistics and a passion for data mining and machine learning, we want to hear from you.

What you’ll do       

• Pipeline Engineering: Build and manage reliable data pipelines to aggregate, ingest, and process data from diverse source systems.
• Data Integration & Quality: Integrate, cleanse, and structure large datasets for analytical consumption and client solutions, implementing automated checks to troubleshoot data anomalies.
• Model Support: Apply an understanding of data characteristics to develop tracking processes that support data quality and entity resolution models.
• Cloud & Infrastructure: Leverage and implement Google Cloud Platform (GCP) technologies, keeping up with cloud advancements to propose optimization improvements.
• Data Governance: Implement data management, security, and maintenance best practices directly into pipeline workflows.
• Global Teamwork: Collaborate actively with regional and global Equifax teams to share insights, standardize workflows, and adopt best practices.

What experience you need

• Education: BS in a STEM major or equivalent discipline (Mathematics, Statistics, or Computer Science preferred).
• Experience: 3 to 5 years of hands-on experience in a data engineering or highly quantitative technical role.
• Core Tech Stack: Strong proficiency in Python and SQL, with practical experience writing utility scripts.
• Cloud Infrastructure: Competent understanding of cloud computing concepts, with practical experience working in Google Cloud Platform (GCP) or a similar cloud environment.
• Data Modeling: Experience transforming unstructured/structured data into optimized data models, troubleshooting pipeline bottlenecks, and ensuring data readiness.
• DevOps Basics: Solid experience with version control (Git) and exposure to CI/CD integration workflows.

What could set you apart

• Big Data & Cloud Tooling: Hands-on experience with Google BigQuery, BigTable, Dataflow, or big data processing frameworks like PySpark/Scala.
• Data Formats: Familiarity with managing modern schemas and file formats such as JSON, AVRO, and PARQUET.
• Domain & Concept Knowledge: Exposure to credit/financial data products or prior project/academic experience with Entity Resolution and identity matching concepts.
• Certification: Any active cloud certifications (e.g., GCP Associate Cloud Engineer).

#India

We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible?  Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

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