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Senior Data Engineer

Equifax
NewPosted today

LOCATION

Bangalore-Equifax Credit Information Services · Hybrid

EXPERIENCE

3 - 5 Years

TYPE

FullTime

SKILLS REQUIRED

PythonSQLData PipelinesGCPData QualityData ModelingBigQueryEntity ResolutionGitCI/CDPySpark

Job description

Overview

Senior Data Engineer on Equifax's Entity Resolution/Keying & Linking team within India Data & Analytics, bridging software development and data science to build reliable data pipelines and data prototypes.

What you'll do

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

What you'll need

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

Nice to have

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

Details

  • Location: Bangalore, India.
  • Work mode: Hybrid.
  • Employment type: Full time.

Read the full description and apply on the company’s own careers page.

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Senior Data Engineer