Data Engineer
Sign up free to see how well your resume matches this role.
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 they're looking for
- 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.
Nice to have
- 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.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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 timeCompany
Company facts come from this company's own listings. We only show what the postings themselves carry.