Data Engineer

equifax; Thiruvananthapuram; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Equifax is seeking a skilled Data Engineer to join a collaborative Agile team in a hybrid work setting. You will design, build, and optimize data pipelines and data quality models to ensure accurate, accessible data for analytics.

The ideal candidate has 3+ years in data engineering with Python and SQL, hands-on GCP experience, and proficiency with Airflow. Bachelor's degree in a related field is required. Primary location: Trivandrum area.

Qualifications

• 3+ years of hands-on software or data engineering experience.
• Strong proficiency in Python and SQL.
• 2+ years with enterprise relational databases and cloud warehouses (PostgreSQL, MySQL, BigQuery).
• Experience building ETL/ELT pipelines with workflow tools like Apache Airflow.
• Hands-on GCP experience (Cloud Storage, BigQuery).
• Version control with GitHub; collaboration tools Jira/Confluence.

Responsibilities

• Build, maintain, and troubleshoot moderately complex data pipelines using Airflow.
• Design and implement data models and data quality rules.
• Analyze large, complex datasets and derive actionable insights.
• Organize work in an Agile development environment to deliver on time.
• Communicate effectively with peers, leads, and management.

Skills

Python

SQL

Data pipelines

Data modeling

Agile

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field

Tools

Apache Airflow

Google Cloud Composer

BigQuery

PostgreSQL

MySQL

GitHub

Jira

Confluence

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.

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.

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-Trivandrum-Equifax Analytics-PEC

Function: Function - Data and Analytics

Schedule: Full time