Data Engineer
IND-Trivandrum-Equifax Analytics-PEC
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
What you’ll work on
Full postingBuild, maintain and troubleshoot data pipelines using Airflow
Design data models and optimize performance
Develop data quality rules and tracking processes
Analyze large, highly complex datasets in depth
From the employer’s posting
Build, maintain, and troubleshoot moderately complex data pipelines (using Airflow)
Design and implement data models, optimize performance
develop rules/tracking processes to support data quality models
Perform design, creation, and deep-dive interpretation of large, highly complex datasets.
Education & alternatives
- 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
Tools in this posting
- Python
- SQL
- BigQuery
- Databricks
- Google Cloud (GCP)
- Kafka
- MySQL
- PostgreSQL
- Snowflake
- Airflow
Source — Tool mentions in context
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).
- 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.
- 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).
- 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.
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
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.
- 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.
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.
- 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).
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 15, 2026 · 33 days ago
- Recorded sightings
- 102
- Last seen by us
- Oct 18, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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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.
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!
Primary Location:
IND-Trivandrum-Equifax Analytics-PECFunction:
Function - Data and AnalyticsSchedule:
Full timeSource details
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- Pay
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- Location & working pattern
IND-Trivandrum-Equifax Analytics-PEC
- 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. 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!
- Work authorization
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