Product Support Engineer

Equifax; Pune District; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Equifax in Pune, India, is seeking a Configuration/Data Engineer to build and operate batch data pipelines on Google Cloud. You will configure workflows, deploy Airflow-based pipelines, and extend DAG templates for consistency across environments.

The role emphasizes monitoring, data quality, security, and SDLC compliance, with collaboration across Engineering and Data Operations to continuously improve delivery and automation. Experience with YAML, scripting, and cloud services is valued.

Qualifications

• Bachelor’s degree in computer science, information technology or equivalent.
• Strong analytical, detail-oriented and proactive approach to problem solving.
• Familiarity with data processing concepts and batch delivery systems.
• Experience working with configuration files (e.g., YAML).
• Understanding of cloud computing concepts, ideally with some exposure to GCP.
• Familiarity with different file encoding formats.
• Experience with API tools for testing and understanding data interfaces.
• Basic scripting skills (e.g., shell scripting) are an asset.

Responsibilities

• Configure and execute data processing workflows on our batch delivery platform according to established procedures and client specifications.
• Deploy and manage complex data pipelines orchestrated via Apache Airflow.
• Leverage and extend Standard Airflow DAG Templates to ensure deployment consistency and rapid iteration across environments.
• Monitor the execution of data processing jobs, identifying and addressing any issues to ensure timely and accurate delivery.
• Perform data quality checks and validation to ensure the integrity and accuracy of processed information.
• Diagnose and resolve complex configuration, scheduling, and dependency issues within the GCP platform and its associated infrastructure.
• Adhere to established security protocols and maintain the highest standards of data security and privacy in all configuration activities.
• Follow SDLC (Software Development Life Cycle) guidelines for any configuration deployments or changes.
• Maintain accurate records of configurations, processes, and any issues encountered.
• Stay up-to-date with platform updates, new features, and relevant technical information.
• Contribute to the identification of opportunities for process improvement and automation within the configuration workflows.
• Assist in the creation and maintenance of our configuration documentation and knowledge base articles.
• Understand the importance of accurate and timely data delivery for our clients.
• Support the team in addressing client inquiries and resolving fulfillment-related issues.
• Take ownership of precise, high-stakes data configurations that directly impact client trust and business outcomes.
• Collaborate with cross-functional partners (including Engineering and Data Operations) to resolve issues and improve delivery processes.

Skills

Analytical thinking

Proactive problem solving

YAML

GCP familiarity

APIs testing

Shell scripting

Python

Java

Education

Bachelor's degree in computer science, information technology or equivalent

Tools

GCP

YAML

Job description

Synopsis of the role:

Ready to work on the front lines of data delivery, leveraging the power of Google Cloud? If you're a detail-oriented problem-solver who enjoys working with sophisticated technology and contributing to a mission-critical platform, this role is for you!

What you’ll do

• Configure and execute data processing workflows on our batch delivery platform according to established procedures and client specifications.
• Deploy and manage complex data pipelines orchestrated via Apache Airflow.
• Leverage and extend Standard Airflow DAG Templates to ensure deployment consistency and rapid iteration across environments.
• Monitor the execution of data processing jobs, identifying and addressing any issues to ensure timely and accurate delivery.
• Perform data quality checks and validation to ensure the integrity and accuracy of processed information.
• Diagnose and resolve complex configuration, scheduling, and dependency issues within the GCP platform and its associated infrastructure.
• Adhere to established security protocols and maintain the highest standards of data security and privacy in all configuration activities.
• Follow SDLC (Software Development Life Cycle) guidelines for any configuration deployments or changes.
• Maintain accurate records of configurations, processes, and any issues encountered.
• Stay up-to-date with platform updates, new features, and relevant technical information.
• Contribute to the identification of opportunities for process improvement and automation within the configuration workflows.
• Assist in the creation and maintenance of our configuration documentation and knowledge base articles.

Client Focus

• Understand the importance of accurate and timely data delivery for our clients.
• Support the team in addressing client inquiries and resolving fulfillment-related issues.
• Take ownership of precise, high-stakes data configurations that directly impact client trust and business outcomes.
• Collaborate with cross-functional partners (including Engineering and Data Operations) to resolve issues and improve delivery processes.

What experience you need

• Bachelor's degree in computer science, information technology or equivalent.
• Strong analytical, detail-oriented, and proactive approach to problem solving.
• Familiarity with data processing concepts and batch delivery systems.
• Experience working with configuration files (e.g., YAML).
• Understanding of cloud computing concepts, ideally with some exposure to GCP.
• Familiarity with different file encoding formats.
• Experience with API tools for testing and understanding data interfaces.
• Basic scripting skills (e.g., shell scripting) are an asset.

What could set you apart

• Ability to verify issues by testing in higher environments, be on-call support for Production Incidents as needed.
• Experience with GCP services such as Dataflow, Composer, Cloud Storage, or BigQuery.
• Familiarity with monitoring and logging tools within a cloud environment (e.g., Google Cloud Logging and Monitoring)
• Proficiency in scripting (Python) or object-oriented programming languages (Java).