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Data Engineer at Equifax — Trivandrum

Experience3–4 yrs
SalaryNot disclosed
Work modeonsite
Levelmid
Posted15 Sept 2026

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About Equifax

Equifax is hiring in Trivandrum in financial services. This role looks for around 3+ years of experience.

Skills

Python
SQL
PostgreSQL
MySQL
BigQuery
Apache Airflow
Google Cloud Platform
GitHub
Jira
Confluence

The role

A data engineer at a financial services company builds data pipelines and data models for analytical datasets, using Python, SQL, and Apache Airflow, with Google Cloud Platform supporting cloud data engineering.

Full job description

We are seeking a skilled and proactive Data Engineer to join our collaborative, fast-paced Agile team. In this role, you will design and build robust data pipelines, optimize complex datasets, and develop data quality models to ensure our data is accurate, accessible, and ready for analytical use. The ideal candidate has strong foundational experience in Google Cloud Platform (GCP), relational databases, and modern data orchestration tools.

What You’ll Do

Data Pipeline & Architecture: Build, maintain, and troubleshoot moderately complex data pipelines (using Airflow) to ingest, transform, and aggregate data from disparate sources. Data Quality & Modeling: Design and implement data models, optimize performance, and develop rules/tracking processes to support data quality models based on data characteristics. Analysis & Interpretation: Perform design, creation, and deep-dive interpretation of large, highly complex datasets. Agile Project Delivery: Organize workflows, manage time effectively, and complete tasks accurately within budget and on time in a rapid development environment. Collaboration & Communication: Work independently under minimal supervision while maintaining effective, clear communication with peers, project leads, and management.

What Experience You Need

3+ years of hands-on experience in software or data engineering with strong proficiency in Python and SQL. 2+ years of experience working with enterprise relational databases and cloud warehouses (e.g., PostgreSQL, MySQL, BigQuery). Practical experience building and orchestrating ETL/ELT pipelines using workflow management tools like Apache Airflow. Hands-on experience developing within a Google Cloud Platform (GCP) environment (Cloud Storage, BigQuery). Demonstrated experience with version control (GitHub) and collaboration tools (Jira, Confluence). Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field.

What Could Set You Apart

Hands-on experience managing directed acyclic graphs (DAGs) in Google Cloud Composer. Prior exposure to modern enterprise data platforms such as Snowflake or Databricks. Understanding of streaming data frameworks (e.g., Apache Pub/Sub, Kafka) and CI/CD deployment pipelines.