Senior Data Engineer

Equifax Canada; Bengaluru; Hybrid; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Hybrid work setting

Healthcare package

Paid time off

Online learning platform with guided/c

Learning platform with guided career

Job summary

Equifax seeks a Senior Data Engineer to join the Entity Resolution/Keying & Linking team within India Data & Analytics in Bengaluru. You will design and maintain data pipelines, ingest diverse data, and support data quality and model tracking.

The ideal candidate has a BS in a STEM field and 3–5 years of hands-on data engineering experience, with Python, SQL, and GCP, plus experience with Git and CI/CD in a hybrid work setting.

Qualifications

• BS in STEM field required.
• 3–5 years of hands-on data engineering experience.
• Strong proficiency in Python and SQL.
• Experience with Google Cloud Platform (GCP) or similar cloud.
• Experience transforming unstructured/structured data into optimized data models.
• Solid exposure to Git and CI/CD workflows.

Responsibilities

• Build and manage reliable data pipelines to ingest and process data from diverse sources.
• Integrate, cleanse, and structure large datasets for analytics and client solutions with automated data quality checks.
• Develop tracking processes to support data quality and entity resolution models.
• Collaborate with regional and global teams to standardize workflows and share insights.
• Apply data governance and security best practices within pipeline workflows.

Skills

Python

SQL

GCP

Data modeling

Education

BS in STEM

Tools

Git

CI/CD

Job description

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.

Primary Location: IND-Bangalore-Equifax Credit Information Services

Function: Function - Data and Analytics

Schedule: Full time